Triple

T16955880
Position Surface form Disambiguated ID Type / Status
Subject Ruta 1 E411299 entity
Predicate passesThrough P225 FINISHED
Object Puntarenas Province E259652 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: Puntarenas Province | Statement: [Ruta 1, passesThrough, Puntarenas Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puntarenas Province
Context triple: [Ruta 1, passesThrough, Puntarenas Province]
  • A. Puntarenas Province chosen
    Puntarenas Province is a large coastal region in western Costa Rica known for its Pacific beaches, ports, and popular tourist destinations.
  • B. Puntarenas Canton
    Puntarenas Canton is a coastal administrative division in Costa Rica known for its port city, beaches, and role as a gateway to Pacific tourism destinations.
  • C. 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.
  • 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. 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.
  • 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_6a0148201f7c8190a964723ca7ef2b68 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:31 a.m.