Triple

T21044867
Position Surface form Disambiguated ID Type / Status
Subject Valledupar E518422 entity
Predicate locatedIn P40 FINISHED
Object Cesar Department 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: Cesar Department | Statement: [Valledupar, locatedIn, Cesar Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cesar Department
Context triple: [Valledupar, locatedIn, Cesar Department]
  • A. Cesar Department chosen
    Cesar Department is an administrative region in northern Colombia known for its capital Valledupar and its strong cultural association with vallenato music.
  • B. Lavalleja Department
    Lavalleja Department is an inland administrative region of southeastern Uruguay known for its hilly landscapes, rural economy, and capital city Minas.
  • C. Jinotega Department
    Jinotega Department is an administrative region in northern Nicaragua known for its mountainous terrain, cool climate, and significant coffee production.
  • D. Pilcaniyeu Department
    Pilcaniyeu Department is an administrative division in the Río Negro Province of Argentina, located in the Andean region of northern Patagonia.
  • E. Famatina Department
    Famatina Department is an administrative division in La Rioja Province, Argentina, known for its mountainous terrain and proximity to the Famatina mountain range.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf2fc4881909b9e3400864e6b82 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:30 p.m.