Triple

T15094017
Position Surface form Disambiguated ID Type / Status
Subject Aburrá Metropolitan Area E360491 entity
Predicate includesMunicipality P14658 FINISHED
Object Envigado E182655 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: Envigado | Statement: [Aburrá Metropolitan Area, includesMunicipality, Envigado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Envigado
Context triple: [Aburrá Metropolitan Area, includesMunicipality, Envigado]
  • A. Envigado chosen
    Envigado is a city in northwestern Colombia that forms part of the Medellín metropolitan area and is known for its residential character and quality of life.
  • B. Vila-seca
    Vila-seca is a coastal municipality in Catalonia, Spain, known for its tourism, proximity to Tarragona, and educational facilities including a campus of Rovira i Virgili University.
  • C. Vinhedo
    Vinhedo is a municipality in southeastern Brazil known for its high quality of life, proximity to Campinas, and attractions such as the Hopi Hari theme park and annual grape festival.
  • D. Ourinhos
    Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
  • E. Afogados
    Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
  • 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.