Triple

T9348231
Position Surface form Disambiguated ID Type / Status
Subject Southern Colombia E224947 entity
Predicate hasCity P316 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: [Southern Colombia, hasCity, Pasto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasto
Context triple: [Southern Colombia, hasCity, 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. Girardota
    Girardota is a municipality in the Antioquia Department of Colombia, located in the northern part of the Aburrá Valley metropolitan area near Medellín.
  • C. Betancuria
    Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
  • D. Cuenca
    Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
  • E. Cuenca
    Cuenca is a historic Spanish city renowned for its medieval architecture and dramatic “hanging houses” perched above deep river gorges.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f107f0081908938f4b814eca5fc completed April 1, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e432106c81908ae080f37bc80f3f completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.