Triple

T16665421
Position Surface form Disambiguated ID Type / Status
Subject Cartago Province E404969 entity
Predicate borderedBy 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: [Cartago Province, borderedBy, San José Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José Province
Context triple: [Cartago Province, borderedBy, 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9cd7ec819084aa9b2830874bf5 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a32988c8190a671a4cbd829047a completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.