Triple

T22173997
Position Surface form Disambiguated ID Type / Status
Subject Region Nororiental E547994 entity
Predicate includesState P285 FINISHED
Object Anzoátegui 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: Anzoátegui | Statement: [Region Nororiental, includesState, Anzoátegui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anzoátegui
Context triple: [Region Nororiental, includesState, Anzoátegui]
  • A. Anzoátegui chosen
    Anzoátegui is a northeastern Venezuelan state known for its Caribbean coastline, oil industry, and diverse landscapes ranging from coastal plains to mountainous areas.
  • B. Capiatá
    Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
  • C. Rurrenabaque
    Rurrenabaque is a small Bolivian town known as a popular gateway to the Amazon rainforest and nearby Madidi National Park.
  • D. Moxos Province
    Moxos Province is an administrative division in Bolivia’s Beni Department, known for its Amazonian lowlands, indigenous Moxeño culture, and towns such as San Ignacio de Moxos.
  • E. Apure Province
    Apure Province was a historical administrative region in the Venezuelan Llanos, known for its vast plains and cattle-ranching economy during the colonial and early republican periods.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6a9370819098ad65fede676c2b completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.