Triple

T7322521
Position Surface form Disambiguated ID Type / Status
Subject Provincia de Cautín y Malleco E168785 entity
Predicate administrativeCenter P1474 FINISHED
Object Temuco E15850 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: Temuco | Statement: [Provincia de Cautín y Malleco, administrativeCenter, Temuco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temuco
Context triple: [Provincia de Cautín y Malleco, administrativeCenter, Temuco]
  • A. Temuco chosen
    Temuco is a major city in southern Chile, known as a commercial and cultural center of the Araucanía Region with a strong Mapuche heritage.
  • B. Puerto Montt
    Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
  • C. Coquimbo
    Coquimbo is a major Chilean port city known for its maritime commerce, fishing industry, and role as a gateway to the Elqui Valley in the Coquimbo Region.
  • D. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • E. 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.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0446628819093e96236f1aa4a9b completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa7bfe248190a5def09d6941e114 completed March 28, 2026, 3:57 p.m.
Created at: March 27, 2026, 3:03 p.m.