Triple

T16143108
Position Surface form Disambiguated ID Type / Status
Subject ISO 3166-2:CR E391710 entity
Predicate subdivisionCodeFor P31833 FINISHED
Object San José Province E160636 NE FINISHED

How this triple was built (3 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: [ISO 3166-2:CR, subdivisionCodeFor, San José Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San José Province
Context triple: [ISO 3166-2:CR, subdivisionCodeFor, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subdivisionCodeFor
Context triple: [ISO 3166-2:CR, subdivisionCodeFor, San José Province]
  • A. hasSubdivisionCode
    Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
  • B. hasSubdivisionCodePart
    Indicates that an entity’s subdivision code includes or is composed of the referenced code segment or component.
  • C. subregionCodeFor chosen
    Indicates that one entity is the code assigned to identify a specific subregion of the other entity.
  • D. hasSubdivisionCodeContext
    Indicates that a subdivision code is interpreted within a specific coding or contextual framework that defines its meaning.
  • E. subdivisionNameType
    Indicates the type or category of a named geographic or administrative subdivision (e.g., province, state, district) associated with an entity.
  • F. None of above.

Provenance (4 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d91925c81909839a4e2f189d23b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a59c0481908eb346efaf10a0f6 completed May 10, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69e182885bc08190822ae7e8a4b8ac1f completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.