Triple

T10957549
Position Surface form Disambiguated ID Type / Status
Subject Iguala E258883 entity
Predicate hasRoadConnectionTo P11435 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: [Iguala, hasRoadConnectionTo, Chilpancingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilpancingo
Context triple: [Iguala, hasRoadConnectionTo, Chilpancingo]
  • A. 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.
  • B. 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.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771260e9881909401a7a7466e1b8a completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a68e4404819096c5023c7eca4b6a completed April 22, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:23 p.m.