Triple

T11796821
Position Surface form Disambiguated ID Type / Status
Subject Afro-Venezuelans E280522 entity
Predicate mainRegionsInVenezuela P101623 FINISHED
Object Sucre state E128838 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: Sucre state | Statement: [Afro-Venezuelans, mainRegionsInVenezuela, Sucre state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucre state
Context triple: [Afro-Venezuelans, mainRegionsInVenezuela, Sucre state]
  • A. Sucre State chosen
    Sucre State is a coastal state in northeastern Venezuela known for its Caribbean beaches, fishing industry, and colonial heritage.
  • B. Sucre Department
    Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
  • C. Bolívar Province
    Bolívar Province is an inland administrative region in central Ecuador, known for its Andean highland landscapes and agricultural economy.
  • 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. Potosí Department
    Potosí Department is a high-altitude region in southwestern Bolivia known for its historic silver mining city of Potosí and vast Andean landscapes.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be15fb2481908f514781ce2c617f completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131110aa081909aa0b0d532e473a5 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.