Triple

T7366329
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Area of Bogotá E169878 entity
Predicate hasMunicipality P847 FINISHED
Object Cota E167578 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: Cota | Statement: [Metropolitan Area of Bogotá, hasMunicipality, Cota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cota
Context triple: [Metropolitan Area of Bogotá, hasMunicipality, Cota]
  • A. Cota chosen
    Cota is a municipality in the Cundinamarca department of Colombia, located near Bogotá on the Bogotá savanna.
  • B. Camarate
    Camarate is a civil parish in the municipality of Loures, near Lisbon in Portugal, known primarily as a residential suburb with historical ties to the Lisbon metropolitan area.
  • C. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • D. Negrete
    Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
  • E. Valcheta
    Valcheta is a small town in northern Patagonia, Argentina, known as a local service and transport hub within Río Negro Province.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f163038481909dedbffb4ae7f860 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802bc25908190ad444de63b7526a0 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:06 p.m.