Triple

T15270961
Position Surface form Disambiguated ID Type / Status
Subject Carabobo E365018 entity
Predicate borderedBy P224 FINISHED
Object Aragua E993345 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: Aragua | Statement: [Carabobo, borderedBy, Aragua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aragua
Context triple: [Carabobo, borderedBy, Aragua]
  • A. Aragua chosen
    Aragua is a central Venezuelan state known for its diverse geography, which includes coastal areas, fertile valleys, and sections of the Cordillera de la Costa mountain range.
  • B. Cacahoatán
    Cacahoatán is a municipality and town in the Soconusco region of Chiapas, Mexico, known for its coffee production and proximity to the Guatemalan border.
  • C. Araricá
    Araricá is a small municipality in the state of Rio Grande do Sul, Brazil, known for its rural character and integration into the Porto Alegre metropolitan region.
  • D. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • E. 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.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7186d481909067f8088f3ea497 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:14 a.m.