Triple

T7515991
Position Surface form Disambiguated ID Type / Status
Subject Floridablanca E177644 entity
Predicate adjacentTo P224 FINISHED
Object Piedecuesta E188445 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: Piedecuesta | Statement: [Floridablanca, adjacentTo, Piedecuesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piedecuesta
Context triple: [Floridablanca, adjacentTo, Piedecuesta]
  • A. Piedecuesta chosen
    Piedecuesta is a Colombian city and municipality located in the Santander Department, known for its growing urban development and proximity to the metropolitan area of Bucaramanga.
  • B. Montes de Oca
    Montes de Oca is a largely urban, university-centered canton in Costa Rica known for hosting major campuses and vibrant student life near the capital, San José.
  • 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. Paso de Sico
    Paso de Sico is a high-altitude mountain pass in the Andes that serves as an international road crossing between northwestern Argentina and northern Chile.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f595148190b36649b0095bb898 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461d4dbc8190b921666fa3524921 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.