Triple

T16132583
Position Surface form Disambiguated ID Type / Status
Subject Tannat E391436 entity
Predicate notableNewWorldRegion P35463 FINISHED
Object Uruguay E28578 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: Uruguay | Statement: [Tannat, notableNewWorldRegion, Uruguay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uruguay
Context triple: [Tannat, notableNewWorldRegion, Uruguay]
  • A. Uruguay chosen
    Uruguay is a small South American country known for its stable democracy, high standard of living, and Atlantic coastline between Brazil and Argentina.
  • B. Paraguay
    Paraguay is a landlocked country in central South America known for its bilingual Spanish and Guaraní culture and its location along the Paraguay and Paraná rivers.
  • C. Argentina and Paraguay
    Argentina and Paraguay are neighboring South American countries that share extensive cultural, historical, and economic ties along their common border.
  • D. ARA Uruguay
    ARA Uruguay is a historic Argentine naval corvette best known for its Antarctic rescue missions and now preserved as a museum ship in Buenos Aires.
  • E. Argentina
    Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02e0048190b4e2c6ff434c2d7a completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef0f51c8190bc039150af8ebf98 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:01 a.m.