Triple

T21896816
Position Surface form Disambiguated ID Type / Status
Subject Los Ríos Region E540699 entity
Predicate hasCity P316 FINISHED
Object Paillaco 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: Paillaco | Statement: [Los Ríos Region, hasCity, Paillaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paillaco
Context triple: [Los Ríos Region, hasCity, Paillaco]
  • A. Paillaco chosen
    Paillaco is a small Chilean city and commune located in the Los Ríos Region in the south of the country.
  • B. Chanco
    Chanco is a coastal town and commune in Chile’s Maule Region, known for its agricultural activities and nearby protected natural areas.
  • C. Andacollo
    Andacollo is a small town in Argentina’s Neuquén Province that serves as the administrative center of the surrounding rural region.
  • D. Andacollo
    Andacollo is a small mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
  • E. Maipú
    Maipú is a renowned wine-producing region in Argentina’s Mendoza Province, noted for its high-quality Malbec and other varietals.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc700c08190a470fe1ad76c8509 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.