Triple

T7533665
Position Surface form Disambiguated ID Type / Status
Subject Acapulco Bay E178090 entity
Predicate locatedIn P40 FINISHED
Object Guerrero E50767 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: Guerrero | Statement: [Acapulco Bay, locatedIn, Guerrero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guerrero
Context triple: [Acapulco Bay, locatedIn, Guerrero]
  • A. Guerrero chosen
    Guerrero is a coastal state in southwestern Mexico known for its mountainous terrain, including part of the Sierra Madre del Sur, and popular tourist destinations such as Acapulco.
  • B. Guerrero
    Guerrero is a Mexico City neighborhood and metro station area known for its central location and connectivity within the capital’s transit system.
  • C. Guerrero Negro
    Guerrero Negro is a town in Baja California Sur, Mexico, best known for its large salt production facilities and as a prime destination for gray whale watching.
  • D. Guerro
    Guerro is a minor tributary stream associated with the Panaro River in northern Italy.
  • E. Navarrete
    Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8493964819086aeddfa4872a70b completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac86982c8190a808ba1b98314829 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:47 p.m.