Triple

T11193008
Position Surface form Disambiguated ID Type / Status
Subject Alberto Lleras Camargo E264848 entity
Predicate familyName P18 FINISHED
Object Lleras E264848 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: Lleras | Statement: [Alberto Lleras Camargo, familyName, Lleras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lleras
Context triple: [Alberto Lleras Camargo, familyName, Lleras]
  • A. Lleras chosen
    Lleras is a Spanish-language surname notably associated with prominent Colombian political figures such as former president Alberto Lleras Camargo.
  • B. Mosquera
    Mosquera is a municipality in the department of Cundinamarca, Colombia, located near Bogotá and known for its growing industrial and residential development.
  • C. Jaramillo
    Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
  • D. Columbio
    Columbio is a rural municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and multicultural indigenous communities.
  • E. Bochica
    Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483f8ecf4819086f0bab3ca9ddcb4 completed April 19, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:29 p.m.