Triple

T3304940
Position Surface form Disambiguated ID Type / Status
Subject Pastuso Spanish E69424 entity
Predicate spokenIn P2266 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: [Pastuso Spanish, spokenIn, Pasto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasto
Context triple: [Pastuso Spanish, spokenIn, 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. Betancuria
    Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
  • C. Cuenca
    Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
  • D. Cuenca
    Cuenca is a historic Spanish city renowned for its medieval architecture and dramatic “hanging houses” perched above deep river gorges.
  • E. Suesca
    Suesca is a Colombian town in the department of Cundinamarca, renowned for its dramatic rock cliffs that make it a popular destination for rock climbing and outdoor recreation.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c8179081908a2595d1fdb7560a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a71b56c8190bb30eaada02ebdb5 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.