Triple

T12098645
Position Surface form Disambiguated ID Type / Status
Subject Norman language E288133 entity
Predicate hasDialect P4251 FINISHED
Object Avranchin
Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, France.
 E969034 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: Avranchin | Statement: [Norman language, hasDialect, Avranchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avranchin
Context triple: [Norman language, hasDialect, Avranchin]
  • A. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • B. Vosgien
    Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
  • C. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • D. Gouin
    Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • 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: Avranchin
Triple: [Norman language, hasDialect, Avranchin]
Generated description
Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avranchin
Target entity description: Avranchin is a regional dialect of the Norman language traditionally spoken around the town of Avranches in Normandy, France.
  • A. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • B. Vosgien
    Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
  • C. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • D. Gouin
    Gouin is a French surname most notably associated with Félix Gouin, a mid-20th-century French socialist politician and former head of government.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • F. None of above. chosen

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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7140c4819086a2dcb2cf334963 completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60bda16e48190af8abc0aa8ef41f0 completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60cd1668881908f43d895fcfba0aa completed May 2, 2026, 2:40 p.m.
Created at: April 8, 2026, 9:48 p.m.