Triple

T5262169
Position Surface form Disambiguated ID Type / Status
Subject Lorrain E118850 entity
Predicate hasDialects P4251 FINISHED
Object Gaumais
Gaumais is a regional Romance dialect spoken in the Gaume area of southern Belgium, closely related to other Lorrain varieties.
 E506576 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: Gaumais | Statement: [Lorrain, hasDialects, Gaumais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaumais
Context triple: [Lorrain, hasDialects, Gaumais]
  • A. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • B. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • C. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • D. Gamay
    Gamay is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing- and agriculture-based local economy.
  • E. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • 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: Gaumais
Triple: [Lorrain, hasDialects, Gaumais]
Generated description
Gaumais is a regional Romance dialect spoken in the Gaume area of southern Belgium, closely related to other Lorrain varieties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaumais
Target entity description: Gaumais is a regional Romance dialect spoken in the Gaume area of southern Belgium, closely related to other Lorrain varieties.
  • A. Garliava
    Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
  • B. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • C. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • D. Gamay
    Gamay is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing- and agriculture-based local economy.
  • E. Gamay
    Gamay is a red wine grape variety best known for producing light, fruity wines, particularly in France’s Beaujolais region.
  • 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_69befe85a3f88190ae014b18b1df202e completed March 21, 2026, 8:24 p.m.
NEDg Description generation batch_69beff56b42881909ff4f574ef87b693 completed March 21, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf00120fe88190817badb72977566e completed March 21, 2026, 8:31 p.m.
Created at: March 20, 2026, 1:50 p.m.