Triple

T7774640
Position Surface form Disambiguated ID Type / Status
Subject Itagüí E179160 entity
Predicate borderedBy P224 FINISHED
Object Bello E179159 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: Bello | Statement: [Itagüí, borderedBy, Bello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bello
Context triple: [Itagüí, borderedBy, Bello]
  • A. Bello chosen
    Bello is a Colombian city in the Aburrá Valley metropolitan area, just north of Medellín, known for its industrial activity and dense urban development.
  • B. Bonomi
    Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
  • C. Belli
    The Belli were a prominent ancient Celtiberian tribe inhabiting the central-eastern Iberian Peninsula, known for their role in conflicts with Rome during the 2nd century BCE.
  • D. Tota
    Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
  • E. Benijo
    Benijo is a remote black-sand beach on the northern coast of Tenerife in the Canary Islands, known for its dramatic rock formations, powerful Atlantic waves, and striking sunsets.
  • 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_69c8c7f12b888190b10479c3db81cce2 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.