Triple

T3595159
Position Surface form Disambiguated ID Type / Status
Subject El Alto E76120 entity
Predicate locatedIn P40 FINISHED
Object La Paz Department E61179 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: La Paz Department | Statement: [El Alto, locatedIn, La Paz Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Paz Department
Context triple: [El Alto, locatedIn, La Paz Department]
  • A. La Paz Department chosen
    La Paz Department is a highland administrative region in western Bolivia that includes the city of La Paz and encompasses part of the Lake Titicaca basin in the Andes.
  • B. Cochabamba Department
    Cochabamba Department is a central Bolivian administrative region known for its fertile valleys, temperate climate, and the city of Cochabamba as its capital.
  • C. Tarija Department
    Tarija Department is an administrative region in southern Bolivia known for its wine production, mild climate, and the city of Tarija as its capital.
  • D. Sucre Department
    Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
  • E. Oruro Department
    Oruro Department is a high-altitude administrative region in western Bolivia known for its Andean landscapes, mining heritage, and vibrant Carnival of Oruro.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15f41cc819085b3e897d823757d completed March 8, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030fab188190b8de1a4b4d625f00 completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.