Triple

T11193031
Position Surface form Disambiguated ID Type / Status
Subject Carlos Lleras Restrepo E264848 entity
Predicate placeOfBirth P1 FINISHED
Object Tocaima E50151 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: Tocaima | Statement: [Carlos Lleras Restrepo, placeOfBirth, Tocaima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tocaima
Context triple: [Carlos Lleras Restrepo, placeOfBirth, Tocaima]
  • A. Tocaima chosen
    Tocaima is a historic Colombian town in the Cundinamarca Department, known for its warm climate and thermal springs.
  • B. Veragua
    Veragua was a historical territory in Central America associated with the hereditary dukedom granted to the descendants of Christopher Columbus under the title Duke of Veragua.
  • C. Facatativá
    Facatativá is a Colombian city in the Andean region, known for its proximity to Bogotá and the nearby Piedras del Tunjo archaeological park.
  • 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. Tocumen
    Tocumen is a town in Panama City’s eastern outskirts best known for hosting Panama’s main international airport and serving as a key gateway to Central and South America.
  • 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.