Triple

T627530
Position Surface form Disambiguated ID Type / Status
Subject Temuco E15850 entity
Predicate officialName P66 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: [Temuco, officialName, Temuco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temuco
Context triple: [Temuco, officialName, 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. 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.
  • E. Coyhaique
    Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e59e2688190b3c18b17c5db1e2b completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d8cd1e481908b77e4db0b6681bf completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:35 p.m.