Triple

T7686081
Position Surface form Disambiguated ID Type / Status
Subject Cordillera Central of the Andes E174119 entity
Predicate hasVolcano P6356 FINISHED
Object Galeras E254380 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: Galeras | Statement: [Cordillera Central of the Andes, hasVolcano, Galeras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galeras
Context triple: [Cordillera Central of the Andes, hasVolcano, Galeras]
  • A. Galeras chosen
    Galeras is an active stratovolcano in southwestern Colombia known for its frequent eruptions and proximity to the city of Pasto.
  • B. Bochica
    Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
  • C. Caparrapí
    Caparrapí is a municipality in central Colombia known for its rural character and location within the Andean region of the Cundinamarca Department.
  • D. San Juan de Urabá
    San Juan de Urabá is a coastal municipality in northern Colombia known for its agricultural economy and location near the Gulf of Urabá in the Caribbean region.
  • E. Fusagasugá
    Fusagasugá is a Colombian city in the department of Cundinamarca, known for its mild climate, flower cultivation, and role as an important commercial and agricultural center near Bogotá.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7022352088190b2510d5fac55864f completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25c2a308190908ffdd2f0b7262f completed March 29, 2026, 3:54 a.m.
Created at: March 27, 2026, 4:02 p.m.