Triple

T19239043
Position Surface form Disambiguated ID Type / Status
Subject Plaza Huincul E481080 entity
Predicate neighboringCity P988 FINISHED
Object Cutral Có 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: Cutral Có | Statement: [Plaza Huincul, neighboringCity, Cutral Có]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cutral Có
Context triple: [Plaza Huincul, neighboringCity, Cutral Có]
  • A. Cutral Có chosen
    Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
  • B. Caviahue
    Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
  • C. Horcasitas
    Horcasitas is a Spanish surname historically associated with nobility and colonial administration in New Spain.
  • D. Cahuenga
    Cahuenga is a place name in the Los Angeles area, best known from Cahuenga Pass and Cahuenga Boulevard, derived from the language of the Indigenous Tongva people.
  • E. Chaca
    Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faef827c81909157bbcd4060dfc9 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.