Triple

T8779939
Position Surface form Disambiguated ID Type / Status
Subject Caporales dance E208698 entity
Predicate popularIn P729 FINISHED
Object Cochabamba E38647 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: Cochabamba | Statement: [Caporales dance, popularIn, Cochabamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cochabamba
Context triple: [Caporales dance, popularIn, Cochabamba]
  • A. Cochabamba chosen
    Cochabamba is a major city in central Bolivia known for its mild climate, agricultural productivity, and role as an important economic and cultural center.
  • B. Tarija
    Tarija is a city in southern Bolivia known for its colonial architecture, mild climate, and surrounding wine-producing valleys.
  • C. La Paz
    La Paz is a municipality in the province of Tarlac in the Philippines, known for its agricultural economy and role as a local commercial center.
  • D. La Paz
    La Paz is a city in northeastern Argentina known for its location on the Paraná River and its role as a regional center in Entre Ríos Province.
  • E. La Paz
    La Paz is the administrative capital and one of the major cities of Bolivia, known for its dramatic setting in a deep valley of the Andes at one of the highest elevations of any capital city in the world.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f548aa48190b2e73f292758e361 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69d02f6e221081909a8a83f2e465b1c2 completed April 3, 2026, 9:21 p.m.
Created at: March 30, 2026, 6:42 p.m.