Triple

T5245265
Position Surface form Disambiguated ID Type / Status
Subject Urabá region E118442 entity
Predicate adjacentTo P224 FINISHED
Object Panama E1142 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: Panama | Statement: [Urabá region, adjacentTo, Panama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama
Context triple: [Urabá region, adjacentTo, Panama]
  • A. Panama chosen
    Panama is a Central American country known for the Panama Canal, a major international shipping route connecting the Atlantic and Pacific Oceans.
  • B. Panamá la Vieja
    Panamá la Vieja is the archaeological site of the original 16th-century Spanish settlement that became the first iteration of Panama City and one of the earliest European cities on the Pacific coast of the Americas.
  • C. Costa Rica
    Costa Rica is a Central American country renowned for its political stability, rich biodiversity, and strong environmental conservation efforts.
  • D. Nicaragua
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • E. Ecuador
    Ecuador is a South American country on the Pacific coast, known for its diverse geography that includes part of the Amazon rainforest, the Andean highlands, and the Galápagos Islands.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b515edc8190a9db198d4eb1c4f6 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef832ae8481908a90faf66c1db631 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.