Triple

T15157525
Position Surface form Disambiguated ID Type / Status
Subject Barbacoan languages E362116 entity
Predicate hasMember P10 FINISHED
Object Pasto E180915 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: Pasto | Statement: [Barbacoan languages, hasMember, Pasto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasto
Context triple: [Barbacoan languages, hasMember, Pasto]
  • A. Pasto chosen
    Pasto is a city in southwestern Colombia known as the capital of the Nariño Department and for its rich Andean culture and traditional Black and White Carnival.
  • B. Patía
    Patía is a municipality in southwestern Colombia known for its agricultural economy and location within the Andean region of the Cauca Department.
  • C. Calarcá
    Calarcá is a Colombian town and municipality in the coffee-growing Quindío Department, known for its cultural heritage and role in the Coffee Cultural Landscape.
  • D. Girardota
    Girardota is a municipality in the Antioquia Department of Colombia, located in the northern part of the Aburrá Valley metropolitan area near Medellín.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060c62b08190bcdbd912d011d1ba completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88419108190860319a9bcab1eef completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.