Triple

T7740168
Position Surface form Disambiguated ID Type / Status
Subject Valdivia Province E175485 entity
Predicate contains P35 FINISHED
Object Paillaco E118980 NE FINISHED

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: [Valdivia Province, contains, Paillaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paillaco
Context triple: [Valdivia Province, contains, 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 mining town and municipality in Chile’s Coquimbo Region, known for its copper deposits and the religious shrine of the Virgin of Andacollo.
  • D. Maipú
    Maipú is a renowned wine-producing region in Argentina’s Mendoza Province, noted for its high-quality Malbec and other varietals.
  • E. Maipú
    Maipú is a populous commune and suburb of Santiago, Chile, known for its residential areas, commercial activity, and historical significance in the Santiago Metropolitan Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035cddb881908bdfc1bd7d6a64ad completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4178408190850c284aab895442 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.