Triple

T8533525
Position Surface form Disambiguated ID Type / Status
Subject Tomás Cipriano de Mosquera E202015 entity
Predicate familyName P18 FINISHED
Object Mosquera E36495 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: Mosquera | Statement: [Tomás Cipriano de Mosquera, familyName, Mosquera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mosquera
Context triple: [Tomás Cipriano de Mosquera, familyName, Mosquera]
  • A. Mosquera chosen
    Mosquera is a municipality in the department of Cundinamarca, Colombia, located near Bogotá and known for its growing industrial and residential development.
  • 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. Lleras
    Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
  • D. Espinal
    Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
  • E. Sogamoso
    Sogamoso is a Colombian city in the Andean region known historically as a major religious and cultural center of the Muisca civilization and today for its industry and mining.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe678fe448190a50c6b0d149b081f completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6e8ea2748190b9ffa2f36c0e397c completed April 3, 2026, 7:38 a.m.
Created at: March 30, 2026, 6:17 p.m.