Triple

T19005413
Position Surface form Disambiguated ID Type / Status
Subject Estadio Lucio Fariña Fernández E465065 entity
Predicate tenant P75 FINISHED
Object San Luis de 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: San Luis de Quillota | Statement: [Estadio Lucio Fariña Fernández, tenant, San Luis de Quillota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Luis de Quillota
Context triple: [Estadio Lucio Fariña Fernández, tenant, San Luis de Quillota]
  • A. San Luis de Quillota chosen
    San Luis de Quillota is a Chilean professional football club based in the city of Quillota.
  • B. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • C. 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.
  • D. La Serena
    La Serena is a comarca in the Province of Badajoz in Extremadura, Spain, known for its rural landscapes, sheep farming, and production of La Serena cheese.
  • E. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • 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.