Triple

T17198323
Position Surface form Disambiguated ID Type / Status
Subject Copa América 1991 E417411 entity
Predicate hostCity P1798 FINISHED
Object Rancagua 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: Rancagua | Statement: [Copa América 1991, hostCity, Rancagua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rancagua
Context triple: [Copa América 1991, hostCity, Rancagua]
  • A. Rancagua chosen
    Rancagua is a major Chilean city known for its mining industry and historical significance in the country’s independence, serving as an important commercial and administrative center south of Santiago.
  • B. Chillán
    Chillán is a historic city in central Chile known for its cultural heritage, markets, and as the birthplace of several prominent Chilean figures.
  • C. Coquimbo
    Coquimbo is a major Chilean port city known for its maritime commerce, fishing industry, and role as a gateway to the Elqui Valley in the Coquimbo Region.
  • D. Talcahuano
    Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
  • E. Talca
    Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daca29081909837494d8d516634 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 5:38 a.m.