Triple

T5809772
Position Surface form Disambiguated ID Type / Status
Subject Paria Peninsula National Park E128838 entity
Predicate locatedIn P40 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: [Paria Peninsula National Park, locatedIn, Sucre State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sucre State
Context triple: [Paria Peninsula National Park, locatedIn, 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. Apure State
    Apure State is a largely rural and sparsely populated region in southwestern Venezuela, known for its vast Llanos plains, cattle ranching, and rich river systems that support diverse wildlife.
  • D. Chuquisaca
    Chuquisaca is the historical name of the Bolivian city now known as Sucre, which served as an important colonial and early republican capital.
  • E. San Luis Province
    San Luis Province is an inland province of central Argentina known for its arid landscapes, sierras, and growing tourism and agricultural sectors.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b52663c8190ab44258468d4296d completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfb903788190bae497fe72bd1e78 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:52 p.m.