Triple
T5975824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordeiro |
E132985
|
entity |
| Predicate | roadSystemOf |
P3293
|
FINISHED |
| Object |
Recife urban road network
The Recife urban road network is the interconnected system of streets, avenues, and highways that supports transportation and mobility throughout the city of Recife, Brazil.
|
E558870
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Recife urban road network | Statement: [Cordeiro, roadSystemOf, Recife urban road network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Recife urban road network Context triple: [Cordeiro, roadSystemOf, Recife urban road network]
-
A.
Hanoi urban road network
The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
-
B.
Santiago urban highway network
The Santiago urban highway network is an integrated system of urban expressways and toll roads that facilitates high-capacity vehicular traffic across the metropolitan area of Santiago, Chile.
-
C.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
-
D.
San Francisco street network
The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
-
E.
Cambridge city centre street network
Cambridge city centre street network is the interconnected system of historic streets, lanes, and pedestrian routes that forms the core urban layout of central Cambridge, England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Recife urban road network Triple: [Cordeiro, roadSystemOf, Recife urban road network]
Generated description
The Recife urban road network is the interconnected system of streets, avenues, and highways that supports transportation and mobility throughout the city of Recife, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Recife urban road network Target entity description: The Recife urban road network is the interconnected system of streets, avenues, and highways that supports transportation and mobility throughout the city of Recife, Brazil.
-
A.
Hanoi urban road network
The Hanoi urban road network is the extensive system of streets, avenues, and highways that connects the districts of Vietnam’s capital city, facilitating daily transportation, commerce, and regional mobility.
-
B.
Santiago urban highway network
The Santiago urban highway network is an integrated system of urban expressways and toll roads that facilitates high-capacity vehicular traffic across the metropolitan area of Santiago, Chile.
-
C.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
-
D.
San Francisco street network
The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
-
E.
Cambridge city centre street network
Cambridge city centre street network is the interconnected system of historic streets, lanes, and pedestrian routes that forms the core urban layout of central Cambridge, England.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadSystemOf Context triple: [Cordeiro, roadSystemOf, Recife urban road network]
-
A.
roadSystem
chosen
Indicates a relationship where multiple roads are organized and connected as part of a larger, integrated transportation network or infrastructure.
-
B.
transportNetwork
Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
-
C.
roadSystemRole
Indicates the specific functional role or responsibility an entity has within a road or transportation network system.
-
D.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
-
E.
roadSystemLength
Indicates the total length or extent of a road network associated with an entity.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e4184a708190a9e4fe8453463a4b |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f9030f088190a6c3df60551cb65e |
completed | March 23, 2026, 8:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f9ba4ca88190b783545fbf34b69b |
completed | March 23, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.