Triple

T4909330
Position Surface form Disambiguated ID Type / Status
Subject Line 9 (Mexico City Metro) E110193 entity
Predicate hasStation P35 FINISHED
Object Chilpancingo E315624 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: [Line 9 (Mexico City Metro), hasStation, Chilpancingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilpancingo
Context triple: [Line 9 (Mexico City Metro), hasStation, Chilpancingo]
  • A. Chilpancingo chosen
    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
    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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfd70b4a7c8190852503f31142562e completed March 22, 2026, 11:48 a.m.
Created at: March 20, 2026, 1:29 p.m.