Triple

T22986187
Position Surface form Disambiguated ID Type / Status
Subject Auditorio E571612 entity
Predicate adjacentStationOnLine7 P41425 FINISHED
Object Polanco 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: Polanco | Statement: [Auditorio, adjacentStationOnLine7, Polanco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polanco
Context triple: [Auditorio, adjacentStationOnLine7, Polanco]
  • A. Polanco
    Polanco is a rural municipality in the province of Zamboanga del Norte in the Philippines, known for its agricultural economy and small-town community life.
  • B. Polanco
    Polanco is a surname most notably associated with former Major League Baseball infielder Plácido Polanco.
  • C. Polanco district
    Polanco district is an upscale neighborhood in Mexico City known for its luxury shopping, high-end restaurants, cultural institutions, and affluent residential areas.
  • D. Nuevo Polanco
    Nuevo Polanco is a modern, upscale district in Mexico City known for its contemporary architecture, luxury residential and commercial developments, and major cultural and shopping centers like Museo Soumaya and Plaza Carso.
  • E. Polanco, Mexico City chosen
    Polanco, Mexico City is an upscale neighborhood known for its luxury shopping, high-end restaurants, cultural institutions, and affluent residential areas.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.