Triple

T16955871
Position Surface form Disambiguated ID Type / Status
Subject Ruta 1 E411299 entity
Predicate connects P390 FINISHED
Object Guanacaste Province E415361 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: Guanacaste Province | Statement: [Ruta 1, connects, Guanacaste Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guanacaste Province
Context triple: [Ruta 1, connects, Guanacaste Province]
  • A. Guanacaste Province chosen
    Guanacaste Province is a northwestern region of Costa Rica known for its Pacific beaches, dry tropical forests, cattle ranching, and popular tourist destinations.
  • B. 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.
  • C. Alajuela Province
    Alajuela Province is a region in north-central Costa Rica known for its agricultural production, volcanic landscapes, and popular ecotourism destinations.
  • D. Puntarenas Province
    Puntarenas Province is a large coastal region in western Costa Rica known for its Pacific beaches, ports, and popular tourist destinations.
  • E. Limón Province
    Limón Province is a coastal region in eastern Costa Rica known for its Caribbean shoreline, Afro-Caribbean culture, and rich tropical rainforests.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01413a445c8190920fe385d3cd43f3 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:31 a.m.