Triple

T7796190
Position Surface form Disambiguated ID Type / Status
Subject Constitution of Rionegro E180303 entity
Predicate signedIn P441 FINISHED
Object Rionegro E180303 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: Rionegro | Statement: [Constitution of Rionegro, signedIn, Rionegro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rionegro
Context triple: [Constitution of Rionegro, signedIn, Rionegro]
  • A. Rionegro chosen
    Rionegro is a city in the Antioquia Department of Colombia, known for its historical significance and as a growing commercial and residential hub near Medellín.
  • B. Rabassa
    Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
  • C. Peñafiel
    Peñafiel is a historic town in Spain renowned for its medieval castle and wine-making tradition in the Ribera del Duero region.
  • D. Riosucio
    Riosucio is a Colombian town known for its rich cultural traditions and the famous Carnival of Riosucio, celebrated in the Caldas Department.
  • E. Noguera
    Noguera is a comarca in western Catalonia, Spain, known for its largely rural landscape, historic towns, and agricultural economy.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae94c41408190b73e37c0ff2c6628 completed March 30, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a18014c8190be64130bfb856e10 completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:31 p.m.