Triple

T21697044
Position Surface form Disambiguated ID Type / Status
Subject Bolivia Time E535549 entity
Predicate observedByMajorCity P38292 FINISHED
Object Cochabamba NE NERFINISHED

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: [Bolivia Time, observedByMajorCity, Cochabamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cochabamba
Context triple: [Bolivia Time, observedByMajorCity, 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 small town in Marshall County, Indiana, known for its rural Midwestern character and tight-knit community.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46a6ee481908836e1420fb78c9b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7b8da48190a863ac45eb4465a8 completed April 27, 2026, 5:23 p.m.
Created at: April 16, 2026, 6:45 p.m.