Triple

T9149267
Position Surface form Disambiguated ID Type / Status
Subject Coyhaique River E219539 entity
Predicate hasNameOrigin P3325 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: [Coyhaique River, hasNameOrigin, Coyhaique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coyhaique
Context triple: [Coyhaique River, hasNameOrigin, 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. Puerto Valdivia
    Puerto Valdivia is a small riverside town in northern Colombia known for its location along the Cauca River and its role as a local transport and trading point.
  • D. Vallenar
    Vallenar is a city in northern Chile known as an agricultural and mining center in the Atacama Desert.
  • E. 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.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96908d88190a1d12517f6d1aece completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bfe53808190ac4cb24823b886d3 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:20 p.m.