Triple

T2276007
Position Surface form Disambiguated ID Type / Status
Subject Mexican Federal Highway 95 E50771 entity
Predicate passesNear P416 FINISHED
Object Chilpancingo E346812 NE FINISHED

How this triple was built (2 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: Chilpancingo | Statement: [Mexican Federal Highway 95, passesNear, Chilpancingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilpancingo
Context triple: [Mexican Federal Highway 95, passesNear, Chilpancingo]
  • A. Chilpancingo
    Chilpancingo is a Mexico City Metro station on Line 9 located in the central area of the city, serving neighborhoods such as Colonia Condesa and Roma.
  • B. Chilpancingo chosen
    Chilpancingo is a city in southern Mexico that serves as the capital of the state of Guerrero and played a key role in the country’s independence movement.
  • C. Celaya
    Celaya is a major city and industrial municipality in the Mexican state of Guanajuato, known for its manufacturing sector and traditional cajeta (goat’s milk caramel).
  • D. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • E. Tuxtepec
    Tuxtepec is a major commercial and industrial city in northern Oaxaca, Mexico, known for its agricultural production and strategic location near the Papaloapan River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ecc600819095dd4f69af1d18d8 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4dadd801481909551f6ed73e02fc2 completed March 14, 2026, 3:49 a.m.
Created at: March 4, 2026, 7:48 p.m.