Triple

T7775239
Position Surface form Disambiguated ID Type / Status
Subject Municipal Council of Anapoima E179173 entity
Predicate meetsIn P40 FINISHED
Object Anapoima town E33515 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: Anapoima town | Statement: [Municipal Council of Anapoima, meetsIn, Anapoima town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anapoima town
Context triple: [Municipal Council of Anapoima, meetsIn, Anapoima town]
  • A. Anapoima chosen
    Anapoima is a warm-climate resort town and popular weekend getaway located in the Cundinamarca department of central Colombia.
  • B. Capital District of Bogotá
    The Capital District of Bogotá is the special administrative division that encompasses Colombia’s capital city, granting it a unique political and governmental status separate from surrounding departments.
  • C. Poblado de San Lorenzo de Aburrá
    Poblado de San Lorenzo de Aburrá was the early colonial settlement that became the nucleus of what is now the city of Medellín in Colombia.
  • D. Manizales
    Manizales is a mountainous Colombian city known for its coffee production, cool climate, and location in the central Andes.
  • E. Teusaquillo
    Teusaquillo is a central locality of Bogotá, Colombia, known for its academic institutions, historic residential architecture, and cultural and recreational venues.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046331e0819080ec1a5c23c27cd7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9abd319048190a24be5112c810489 completed March 29, 2026, 10:46 p.m.
Created at: March 27, 2026, 4:11 p.m.