Triple

T2420103
Position Surface form Disambiguated ID Type / Status
Subject Rio Hato E53398 entity
Predicate partOf P40 FINISHED
Object Republic of 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: Republic of Panama | Statement: [Rio Hato, partOf, Republic of Panama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic of Panama
Context triple: [Rio Hato, partOf, Republic of 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. Costa Rica
    Costa Rica is a Central American country renowned for its political stability, rich biodiversity, and strong environmental conservation efforts.
  • C. Nicaragua
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • D. United Provinces of Central America
    The United Provinces of Central America was a short-lived early 19th-century federation of several Central American states that emerged after independence from Spanish colonial rule.
  • E. Dominican Republic
    The Dominican Republic is a Caribbean nation on the island of Hispaniola known for its beaches, mountainous interior, and vibrant blend of Spanish, African, and Taíno cultural influences.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96e1b3881909de57501b5d4099a completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af177ff6508190b549227f4cfd9876 completed March 9, 2026, 6:54 p.m.
Created at: March 6, 2026, 9:42 p.m.