Triple

T14574245
Position Surface form Disambiguated ID Type / Status
Subject Bayano River E341996 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Chepo E990232 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: Chepo | Statement: [Bayano River, hasNearbySettlement, Chepo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chepo
Context triple: [Bayano River, hasNearbySettlement, Chepo]
  • A. Chepo chosen
    Chepo is a town in eastern Panama that serves as an important local commercial and administrative center.
  • B. Wanchope
    Wanchope is a Costa Rican surname best known from former professional footballer and manager Paulo Wanchope, a prominent striker for club and country in the late 1990s and early 2000s.
  • C. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • D. Colocolo
    Colocolo was a prominent Mapuche leader and strategist who played a key role in organizing indigenous resistance against the Spanish during the early conquest of Chile.
  • E. Cachi
    Cachi is a picturesque Andean town in northwestern Argentina, known for its colonial architecture, mountain scenery, and role as a gateway to the Calchaquí Valleys.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8acc788081909c41905785fa9a29 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.