Triple

T8406100
Position Surface form Disambiguated ID Type / Status
Subject Alto Guavio Province E198503 entity
Predicate containsMunicipality P852 FINISHED
Object Gachetá E34710 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: Gachetá | Statement: [Alto Guavio Province, containsMunicipality, Gachetá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gachetá
Context triple: [Alto Guavio Province, containsMunicipality, Gachetá]
  • A. Gachetá chosen
    Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • B. Sampués
    Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
  • C. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • D. Gassin
    Gassin is a picturesque hilltop village in southeastern France’s Var department, known for its panoramic views over the Gulf of Saint-Tropez and its well-preserved medieval character.
  • E. Gilot
    Gilot is a French surname most notably borne by Françoise Gilot, the painter and writer known for her long relationship with Pablo Picasso.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8312941c8190af0b2def0a4e02be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03035e148190867b60ddaeb8d761 completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.