Triple

T14794837
Position Surface form Disambiguated ID Type / Status
Subject Caldas E347746 entity
Predicate hasMunicipality P847 FINISHED
Object La Dorada E175734 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: La Dorada | Statement: [Caldas, hasMunicipality, La Dorada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Dorada
Context triple: [Caldas, hasMunicipality, La Dorada]
  • A. La Dorada chosen
    La Dorada is a major riverside city in central Colombia known for its hot climate and strategic location along the Magdalena River.
  • B. El Dorado
    El Dorado is a 1966 American Western film directed by Howard Hawks, starring John Wayne and Robert Mitchum as unlikely allies defending a town against a ruthless land baron.
  • C. Anolaima
    Anolaima is a rural municipality in the Cundinamarca Department of Colombia, known for its agricultural production and Andean landscapes.
  • D. Donnacona
    Donnacona is a small town in the Capitale-Nationale region of Quebec, Canada, located west of Quebec City along the Saint Lawrence River.
  • E. Atalaya
    Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5fdd548190a2ee5e668c2b20b4 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bea4408190975f4856cc02580e completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.