Triple

T11155537
Position Surface form Disambiguated ID Type / Status
Subject Line B (Mexico City Metro) E263895 entity
Predicate hasStation P35 FINISHED
Object Tepito E617087 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: Tepito | Statement: [Line B (Mexico City Metro), hasStation, Tepito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tepito
Context triple: [Line B (Mexico City Metro), hasStation, Tepito]
  • A. Tepito chosen
    Tepito is a historic and densely populated neighborhood in Mexico City, widely known for its massive informal street market and strong local culture.
  • B. Tláhuac
    Tláhuac is a largely semi-rural borough in the southeastern part of Mexico City, known for its chinampas (traditional canal-based agriculture) and rapid urbanization.
  • C. Tlalpan, Mexico City
    Tlalpan, Mexico City is a large southern borough of Mexico City known for its historic center, extensive green areas, and mix of urban and rural zones.
  • D. Azcapotzalco, Mexico City
    Azcapotzalco is a historic borough in the northwest of Mexico City known for its pre-Hispanic heritage, colonial-era churches, and industrial and residential urban landscape.
  • E. Capulhuac
    Capulhuac is a municipality in the State of Mexico known for its traditional chorizo production and proximity to Toluca.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46341f224819099dd618b377e5bc2 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.