Triple

T15366226
Position Surface form Disambiguated ID Type / Status
Subject Western Venezuela E367420 entity
Predicate includesState P285 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: [Western Venezuela, includesState, Barinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barinas
Context triple: [Western Venezuela, includesState, 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 State
    Barinas State is a landlocked administrative region in western Venezuela known for its vast plains (llanos), cattle ranching, and role as the birthplace of former president Hugo Chávez.
  • D. 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.
  • E. Diego Martin
    Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4e968c8190a16824ee3ede13b2 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:18 a.m.