Triple

T9108372
Position Surface form Disambiguated ID Type / Status
Subject Upper Navarrese E218533 entity
Predicate hasDialect P4251 FINISHED
Object Low Navarrese E222496 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: Low Navarrese | Statement: [Upper Navarrese, hasDialect, Low Navarrese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Low Navarrese
Context triple: [Upper Navarrese, hasDialect, Low Navarrese]
  • A. Lower Navarrese chosen
    Lower Navarrese is a regional dialect of the Basque language traditionally spoken in the Lower Navarre area of the French Basque Country.
  • B. Lower Navarre
    Lower Navarre is a historical Basque province in the western Pyrenees, now part of southwestern France, known for its distinct Basque culture and heritage.
  • C. Upper Navarrese
    Upper Navarrese is a dialect of the Basque language traditionally spoken in the Navarre region of northern Spain.
  • D. Navarro
    Navarro is a Spanish surname borne by numerous notable individuals across fields such as film, sports, politics, and academia.
  • E. Navarrete
    Navarrete is a Spanish surname most notably borne by Javier Navarrete, an acclaimed film composer known for his work on movies such as "Pan's Labyrinth."
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca57543448190829853c31e05dd8c completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0302bfa00819097e752f1d0581d2d completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.