Triple

T19005402
Position Surface form Disambiguated ID Type / Status
Subject Estadio Lucio Fariña Fernández E465065 entity
Predicate locatedIn P40 FINISHED
Object Quillota 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: Quillota | Statement: [Estadio Lucio Fariña Fernández, locatedIn, Quillota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quillota
Context triple: [Estadio Lucio Fariña Fernández, locatedIn, Quillota]
  • A. Quillota chosen
    Quillota is a Chilean city known for its agricultural production and historical significance within the Valparaíso Region.
  • B. Conchalí
    Conchalí is a predominantly residential commune and district in the northern part of Santiago, Chile, known for its working-class neighborhoods and urban character.
  • C. Nancagua
    Nancagua is a town and commune in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • D. Rancagua
    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.
  • E. Pichilemu
    Pichilemu is a coastal Chilean city renowned as a major surfing destination and seaside resort on the Pacific Ocean.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a494688190a277b2cddf300235 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.