Triple

T6939501
Position Surface form Disambiguated ID Type / Status
Subject San José Province E160636 entity
Predicate borders P224 FINISHED
Object Alajuela Province E321025 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: Alajuela Province | Statement: [San José Province, borders, Alajuela Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alajuela Province
Context triple: [San José Province, borders, Alajuela Province]
  • A. Alajuela Province chosen
    Alajuela Province is a region in north-central Costa Rica known for its agricultural production, volcanic landscapes, and popular ecotourism destinations.
  • B. Guanacaste Province
    Guanacaste Province is a northwestern region of Costa Rica known for its Pacific beaches, dry tropical forests, cattle ranching, and popular tourist destinations.
  • C. Puntarenas Province
    Puntarenas Province is a large coastal region in western Costa Rica known for its Pacific beaches, ports, and popular tourist destinations.
  • D. Coclé Province
    Coclé Province is a central Panamanian province known for its Pacific coastline, agricultural production, and growing tourism centered around beaches and historical sites.
  • E. Cartago Province
    Cartago Province is a central region of Costa Rica known for its historic colonial capital, fertile agricultural lands, and active volcanoes such as Irazú and Turrialba.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75861cd548190a215d616b68101d9 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:28 p.m.