Triple

T15271053
Position Surface form Disambiguated ID Type / Status
Subject Guárico E365020 entity
Predicate borders P224 FINISHED
Object Barinas E921790 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: Barinas | Statement: [Guárico, borders, Barinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barinas
Context triple: [Guárico, borders, Barinas]
  • A. Barinas Province
    Barinas Province was a historical administrative region in western Venezuela that formed part of the territory of the First Republic of Venezuela in the early 19th century.
  • B. Acarigua
    Acarigua is a major commercial and agricultural city in western Venezuela, known as an important center for the surrounding plains region.
  • C. Barinas, Venezuela chosen
    Barinas, Venezuela is a city in western Venezuela that serves as the capital of Barinas state and is known as an agricultural center on the Llanos plains.
  • D. Diego Martin
    Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
  • E. Facatativá
    Facatativá is a Colombian city in the Andean region, known for its proximity to Bogotá and the nearby Piedras del Tunjo archaeological park.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6046a088190a9ebea7672e36b73 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.