Triple

T13506468
Position Surface form Disambiguated ID Type / Status
Subject Alajuela Province E321025 entity
Predicate borders P224 FINISHED
Object San José Province E160636 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: San José Province | Statement: [Alajuela Province, borders, San José Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José Province
Context triple: [Alajuela Province, borders, San José Province]
  • A. San José Province chosen
    San José Province is a central administrative region of Costa Rica that includes the national capital and serves as a political, economic, and cultural hub of the country.
  • B. Santa Isabel Province
    Santa Isabel Province is an island province of the Solomon Islands in the southwestern Pacific Ocean, known for its indigenous cultures and tropical landscapes.
  • C. Los Santos Province
    Los Santos Province is a largely rural region in southern Panama known for its agricultural production, folkloric traditions, and Pacific coastline.
  • D. Herrera Province
    Herrera Province is an administrative region in central Panama known for its agricultural production and traditional festivals.
  • E. Melgar Province
    Melgar Province is an administrative division in southeastern Peru known for its high Andean landscapes and location within the Puno Region.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942668f481909c6d892fdfd32c02 completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:43 p.m.