Triple

T721042
Position Surface form Disambiguated ID Type / Status
Subject Occitan E14615 entity
Predicate hasDialect P4251 FINISHED
Object Gascon
Gascon is a Romance dialect of the Occitan language traditionally spoken in southwestern France, particularly in the historical region of Gascony.
 E14615 NE FINISHED

How this triple was built (4 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: [Occitan, hasDialect, Gascon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gascon
Context triple: [Occitan, hasDialect, Gascon]
  • A. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • B. Niçard Occitan
    Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • C. Occitan
    Occitan is a Romance language historically spoken in southern France and neighboring regions, known for its rich medieval literary tradition and close relation to Catalan.
  • D. Haketia
    Haketia is a Judeo-Spanish dialect historically spoken by Sephardic Jews in northern Morocco and parts of Gibraltar, characterized by strong influences from Moroccan Arabic and Hebrew.
  • E. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gascon
Triple: [Occitan, hasDialect, Gascon]
Generated description
Gascon is a Romance dialect of the Occitan language traditionally spoken in southwestern France, particularly in the historical region of Gascony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gascon
Target entity description: Gascon is a Romance dialect of the Occitan language traditionally spoken in southwestern France, particularly in the historical region of Gascony.
  • A. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • B. Niçard Occitan
    Niçard Occitan is a Romance variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • C. Occitan chosen
    Occitan is a Romance language historically spoken in southern France and neighboring regions, known for its rich medieval literary tradition and close relation to Catalan.
  • D. Haketia
    Haketia is a Judeo-Spanish dialect historically spoken by Sephardic Jews in northern Morocco and parts of Gibraltar, characterized by strong influences from Moroccan Arabic and Hebrew.
  • E. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • F. None of above.

Provenance (5 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a58fa41c819082de2cc4e0cb2943 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a79329fc2c81908dbf0627686ef47e completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a793b89e38819090fd80afbb0fee96 completed March 4, 2026, 2:06 a.m.
Created at: March 1, 2026, 7:37 p.m.