Triple

T14667647
Position Surface form Disambiguated ID Type / Status
Subject Barinas Province E344420 entity
Predicate capital P234 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: [Barinas Province, capital, Barinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barinas
Context triple: [Barinas Province, capital, 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. 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.
  • C. Diego Martin
    Diego Martin is a suburban town in northwestern Trinidad, known as part of the greater Port of Spain metropolitan area.
  • D. Facatativá
    Facatativá is a Colombian city in the Andean region, known for its proximity to Bogotá and the nearby Piedras del Tunjo archaeological park.
  • E. Maracay
    Maracay is a major industrial and commercial city in north-central Venezuela and the capital of Aragua state.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cdc54a881909d9ea43c26b9d5ef completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:27 a.m.