Triple

T22639321
Position Surface form Disambiguated ID Type / Status
Subject Negro River E558776 entity
Predicate flowsPast P4996 FINISHED
Object General Roca NE NERFINISHED

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: General Roca | Statement: [Negro River, flowsPast, General Roca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Roca
Context triple: [Negro River, flowsPast, General Roca]
  • A. General Roca chosen
    General Roca is a city in the Alto Valle region of Río Negro Province in northern Patagonia, Argentina, known for its fruit production and agricultural economy.
  • B. Coronel Bogado
    Coronel Bogado is a town in the Rosario Department of Paraguay known for its agricultural activities and small-town character.
  • C. Aparicio
    Aparicio is a Spanish-language surname borne by various notable individuals across fields such as film, sports, and politics.
  • D. Coronel Suárez
    Coronel Suárez is a city in Argentina known for its significant German Argentine community and cultural heritage.
  • E. Mariscal
    Mariscal is a Spanish surname most notably associated with designer and illustrator Javier Mariscal, known for his influential work in graphic design and visual art.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17010aa4c8190a9f0cf7eb4c066cd completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.