Triple

T1588311
Position Surface form Disambiguated ID Type / Status
Subject Paihuano E34116 entity
Predicate hasLocality P7943 FINISHED
Object Cochiguaz E25190 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: Cochiguaz | Statement: [Paihuano, hasLocality, Cochiguaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cochiguaz
Context triple: [Paihuano, hasLocality, Cochiguaz]
  • A. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • B. Chiguayante
    Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
  • C. Combarbalá chosen
    Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
  • D. Caxangá
    Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
  • E. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090c8e488190aa25893c5ef0fe22 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc98fb2288190aeae9e48c146658f completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:27 p.m.