Triple

T15094018
Position Surface form Disambiguated ID Type / Status
Subject Aburrá Metropolitan Area E360491 entity
Predicate includesMunicipality P14658 FINISHED
Object Sabaneta E674523 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: Sabaneta | Statement: [Aburrá Metropolitan Area, includesMunicipality, Sabaneta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabaneta
Context triple: [Aburrá Metropolitan Area, includesMunicipality, Sabaneta]
  • A. Sabaneta chosen
    Sabaneta is a small but densely populated municipality in the Medellín metropolitan area of Colombia’s Aburrá Valley, known for its rapid urban growth and residential character.
  • B. Sabaneta
    Sabaneta is a municipal district in the San Juan de la Maguana municipality of the Dominican Republic.
  • C. Llanera
    Llanera is a rural municipality in the province of Nueva Ecija in the Philippines, known primarily for its agricultural economy and rice farming.
  • D. Cajicá
    Cajicá is a Colombian town and municipality in the department of Cundinamarca, known for its colonial heritage and proximity to Bogotá.
  • E. Betancuria
    Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054571a48190a57055c0d6e90f82 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1f406081909d4925474370da86 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.