Triple

T19197953
Position Surface form Disambiguated ID Type / Status
Subject Zona Metropolitana de La Laguna E470020 entity
Predicate centralCity P3940 FINISHED
Object Lerdo 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: Lerdo | Statement: [Zona Metropolitana de La Laguna, centralCity, Lerdo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerdo
Context triple: [Zona Metropolitana de La Laguna, centralCity, Lerdo]
  • A. Lerdo chosen
    Lerdo is a municipality and city in the Mexican state of Durango, known for its agricultural production and location within the Comarca Lagunera metropolitan area.
  • B. Tlaquepaque
    Tlaquepaque is a historic city in the Guadalajara metropolitan area of Jalisco, Mexico, renowned for its traditional pottery, handicrafts, and vibrant arts scene.
  • C. Olivos
    Olivos is a metro station in Mexico City that serves Line 12 of the city’s rapid transit system.
  • D. Polanco
    Polanco is a surname most notably associated with former Major League Baseball infielder Plácido Polanco.
  • E. 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.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a8daac8190b3558a1388596fb0 completed April 20, 2026, 9:58 a.m.
Created at: April 10, 2026, 12:07 p.m.