Triple

T17778351
Position Surface form Disambiguated ID Type / Status
Subject Línea Dorada E443831 entity
Predicate hasStation P35 FINISHED
Object Atlalilco NE NERFINISHED

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: Atlalilco | Statement: [Línea Dorada, hasStation, Atlalilco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlalilco
Context triple: [Línea Dorada, hasStation, Atlalilco]
  • A. Atlalilco chosen
    Atlalilco is a Mexico City Metro station that serves as an interchange point on the system’s Line 12.
  • B. Capoocan
    Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • C. Cajidiocan
    Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • D. Ocoyucan
    Ocoyucan is a municipality in the Mexican state of Puebla that forms part of the greater Puebla metropolitan region.
  • E. Macuspana
    Macuspana is a significant urban center and municipality in the Mexican state of Tabasco, known for its role in the region’s political and economic life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871f63708190b298ed96896ad0ee completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.