Triple

T6623585
Position Surface form Disambiguated ID Type / Status
Subject Neuquén River E149737 entity
Predicate majorCityOnRiver P316 FINISHED
Object Centenario E481081 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: Centenario | Statement: [Neuquén River, majorCityOnRiver, Centenario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centenario
Context triple: [Neuquén River, majorCityOnRiver, Centenario]
  • A. Diez de Octubre
    Diez de Octubre is a populous municipality in Havana, Cuba, known for its historic neighborhoods and vibrant urban life.
  • B. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • C. De Rosario
    De Rosario is the surname of Dwayne De Rosario, a prominent Canadian former professional soccer player known for his goal-scoring and playmaking in Major League Soccer.
  • D. Copa
    Copa is an archaeological site in the Peruvian highlands associated with the ancient Recuay culture, known for its distinctive highland architecture and stone sculpture.
  • E. Centenario (Neuquén) chosen
    Centenario (Neuquén) is a town in Argentina’s Patagonia region known for its fruit production and proximity to the provincial capital, Neuquén.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7decb08190a7b1ddb95e534a6a completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44b251481909dca5ff82e1dbf0f completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:58 p.m.