Triple

T16665422
Position Surface form Disambiguated ID Type / Status
Subject Cartago Province E404969 entity
Predicate borderedBy P224 FINISHED
Object Limón Province E636219 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: Limón Province | Statement: [Cartago Province, borderedBy, Limón Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limón Province
Context triple: [Cartago Province, borderedBy, Limón Province]
  • A. Limón Province chosen
    Limón Province is a coastal region in eastern Costa Rica known for its Caribbean shoreline, Afro-Caribbean culture, and rich tropical rainforests.
  • B. Naranjo Canton
    Naranjo Canton is an administrative division in Costa Rica known for its coffee production and rural landscapes within the Alajuela region.
  • C. 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.
  • D. Chiriquí Province
    Chiriquí Province is a western Panamanian province bordering Costa Rica, known for its agricultural production, mountain landscapes, and the highland town of Boquete.
  • E. 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.
  • 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_6a0084d21ed4819089fc70f92653694d completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.