Triple

T5262168
Position Surface form Disambiguated ID Type / Status
Subject Lorrain E118850 entity
Predicate hasDialects P4251 FINISHED
Object Vosgien
Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
 E509408 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: Vosgien | Statement: [Lorrain, hasDialects, Vosgien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vosgien
Context triple: [Lorrain, hasDialects, Vosgien]
  • A. Viaur
    The Viaur is a river in southern France that flows through the Aveyron and Tarn departments before joining the Aveyron River.
  • B. Oise
    Oise is a major river in northern France that flows through regions such as Picardy and Île-de-France before joining the Seine near Paris.
  • C. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • D. Thiérache
    Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • E. Vallée de la Marne
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • 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: Vosgien
Triple: [Lorrain, hasDialects, Vosgien]
Generated description
Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vosgien
Target entity description: Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
  • A. Viaur
    The Viaur is a river in southern France that flows through the Aveyron and Tarn departments before joining the Aveyron River.
  • B. Oise
    Oise is a major river in northern France that flows through regions such as Picardy and Île-de-France before joining the Seine near Paris.
  • C. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • D. Thiérache
    Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • E. Vallée de la Marne
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd0c5f48190a1be89314c59f96b completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10d1207481909ea18248993b4b71 completed March 21, 2026, 9:42 p.m.
NEDg Description generation batch_69bf1142260c8190886c5d559275f297 completed March 21, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_69bf11b319e4819094b4fad23dafc905 completed March 21, 2026, 9:46 p.m.
Created at: March 20, 2026, 1:50 p.m.