Triple

T16665431
Position Surface form Disambiguated ID Type / Status
Subject Cartago Province E404969 entity
Predicate partOf P40 FINISHED
Object Republic of Costa Rica E16577 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 Costa Rica | Statement: [Cartago Province, partOf, Republic of Costa Rica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Republic of Costa Rica
Context triple: [Cartago Province, partOf, Republic of Costa Rica]
  • A. Costa Rica chosen
    Costa Rica is a Central American country renowned for its political stability, rich biodiversity, and strong environmental conservation efforts.
  • B. El Salvador
    El Salvador is a coastal municipality in the Philippines located along Macajalar Bay in the province of Misamis Oriental.
  • C. El Salvador
    El Salvador is a Central American country known for being the smallest and most densely populated nation in the region, with a history of civil conflict and a recent push toward economic modernization and cryptocurrency adoption.
  • D. Nicaragua
    Nicaragua is a Central American country known for its volcanic landscapes, large lakes, and colonial-era architecture.
  • E. Costaguana
    Costaguana is the fictional South American republic created by Joseph Conrad as the turbulent political setting of his novel "Nostromo."
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9cd7ec819084aa9b2830874bf5 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfbe853c8190941d9a20173100fc completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:18 a.m.