Triple

T8199649
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Coyhaique E191534 entity
Predicate hasSeat P3522 FINISHED
Object Coyhaique E36627 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: Coyhaique | Statement: [Municipality of Coyhaique, hasSeat, Coyhaique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coyhaique
Context triple: [Municipality of Coyhaique, hasSeat, Coyhaique]
  • A. Coyhaique chosen
    Coyhaique is a small city in Chilean Patagonia known as a gateway to the remote Aysén Region, surrounded by mountains, rivers, and forests.
  • 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. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • D. Puerto Aysén
    Puerto Aysén is a small port city in Chilean Patagonia that serves as a key gateway to the fjords, glaciers, and national parks of the Aysén Region.
  • E. Puerto Varas
    Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df565dc819099537fc06b694b40 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde73e4c3881908a845fd61373cbec completed April 2, 2026, 3:49 a.m.
Created at: March 30, 2026, 5:43 p.m.