Triple

T19297658
Position Surface form Disambiguated ID Type / Status
Subject Fernández Oro E482608 entity
Predicate locatedNear P294 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: [Fernández Oro, locatedNear, General Roca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Roca
Context triple: [Fernández Oro, locatedNear, 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc86f8648190920d122bb141c6e5 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.