Triple
T12497542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Texcoco |
E298730
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
urban road network of Nezahualcóyotl
The urban road network of Nezahualcóyotl is the interconnected system of streets and avenues that structures transportation, mobility, and access within the densely populated municipality of Nezahualcóyotl in the State of Mexico.
|
E987199
|
NE FINISHED |
How this triple was built (4 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: urban road network of Nezahualcóyotl | Statement: [Avenida Texcoco, partOf, urban road network of Nezahualcóyotl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: urban road network of Nezahualcóyotl Context triple: [Avenida Texcoco, partOf, urban road network of Nezahualcóyotl]
-
A.
Mexico City road network
The Mexico City road network is an extensive and complex urban transportation system of avenues, highways, and streets that supports one of the largest and most densely populated metropolitan areas in the world.
-
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.
Madrid city street network
The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
-
D.
Cobá road network
The Cobá road network is an extensive system of ancient Maya raised stone causeways radiating from the city of Cobá, connecting it to surrounding settlements across the Yucatán Peninsula.
-
E.
Bilbao urban road network
The Bilbao urban road network is the interconnected system of streets, avenues, and bridges that facilitates vehicular movement and access throughout the city of Bilbao, Spain.
- 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: urban road network of Nezahualcóyotl Triple: [Avenida Texcoco, partOf, urban road network of Nezahualcóyotl]
Generated description
The urban road network of Nezahualcóyotl is the interconnected system of streets and avenues that structures transportation, mobility, and access within the densely populated municipality of Nezahualcóyotl in the State of Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: urban road network of Nezahualcóyotl Target entity description: The urban road network of Nezahualcóyotl is the interconnected system of streets and avenues that structures transportation, mobility, and access within the densely populated municipality of Nezahualcóyotl in the State of Mexico.
-
A.
Mexico City road network
The Mexico City road network is an extensive and complex urban transportation system of avenues, highways, and streets that supports one of the largest and most densely populated metropolitan areas in the world.
-
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.
Madrid city street network
The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
-
D.
Cobá road network
The Cobá road network is an extensive system of ancient Maya raised stone causeways radiating from the city of Cobá, connecting it to surrounding settlements across the Yucatán Peninsula.
-
E.
Bilbao urban road network
The Bilbao urban road network is the interconnected system of streets, avenues, and bridges that facilitates vehicular movement and access throughout the city of Bilbao, Spain.
- F. None of above. chosen
Provenance (5 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64baf73188190af29b57f8ae9253f |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce0ca288190bbbcb5459f914c19 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64df6488481909dea8387e7000d15 |
completed | May 2, 2026, 7:18 p.m. |
Created at: April 8, 2026, 9:57 p.m.