Triple

T3498621
Position Surface form Disambiguated ID Type / Status
Subject Duke of Gascony E73910 entity
Predicate hasLanguage P15 FINISHED
Object Gascon E210572 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: Gascon | Statement: [Duke of Gascony, hasLanguage, Gascon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gascon
Context triple: [Duke of Gascony, hasLanguage, Gascon]
  • A. Vivaro-Alpine Occitan
    Vivaro-Alpine Occitan is a variety of the Occitan language spoken in southeastern France and parts of Italy, forming a transitional dialect between Provençal and Northern Occitan.
  • B. Gascogne chosen
    Gascogne is a historic cultural region in southwestern France known for its Gascon language, rich rural traditions, and distinctive cuisine including Armagnac and foie gras.
  • C. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • D. Niçard Occitan
    Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • E. Guyenne
    Guyenne is a historic province in southwestern France that once formed part of the larger region of Aquitaine and played a key role in medieval Franco-English conflicts.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd3ad548190abbfae820bf3b66d completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d2ef9c819087458a0ac02d4596 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.