Triple

T6878447
Position Surface form Disambiguated ID Type / Status
Subject Gerardo Martino E158730 entity
Predicate memberOfSportsTeam P330 FINISHED
Object O'Higgins E292761 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: O'Higgins | Statement: [Gerardo Martino, memberOfSportsTeam, O'Higgins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O'Higgins
Context triple: [Gerardo Martino, memberOfSportsTeam, O'Higgins]
  • A. O’Higgins chosen
    O’Higgins is a professional football club from Rancagua, Chile, that competes in the country’s top-tier league.
  • B. Villazón
    Villazón is a Bolivian border town in the Potosí Department, known as a key commercial and transit point between Bolivia and Argentina.
  • C. Baquedano
    Baquedano is a major interchange station in the Santiago Metro system, serving as a key hub that connects multiple lines in central Santiago, Chile.
  • D. Balmaceda
    Balmaceda is a Spanish-language surname of Chilean origin, notably borne by actor Pedro Pascal (born José Pedro Balmaceda Pascal).
  • E. Traiguén
    Traiguén is a town and commune in southern Chile’s Araucanía Region, known historically for agriculture and forestry within the Malleco area.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8e498bc81908b2fbe0c6a8b95b7 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742c2b81881909bd13df0d6028cc6 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.