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.