Triple

T2582320
Position Surface form Disambiguated ID Type / Status
Subject Ain E57120 entity
Predicate hasRegion P285 FINISHED
Object Dombes
Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
E280237 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: Dombes | Statement: [Ain, hasRegion, Dombes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dombes
Context triple: [Ain, hasRegion, Dombes]
  • A. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • B. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Camargue
    Camargue is a vast wetland region in southern France known for its salt marshes, wild white horses, black bulls, and rich birdlife including flamingos.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • 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: Dombes
Triple: [Ain, hasRegion, Dombes]
Generated description
Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dombes
Target entity description: Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
  • A. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • B. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Camargue
    Camargue is a vast wetland region in southern France known for its salt marshes, wild white horses, black bulls, and rich birdlife including flamingos.
  • D. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • E. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af657cc2b08190a9055d6da7744851 completed March 10, 2026, 12:27 a.m.
NEDg Description generation batch_69af69a66078819084f341b052860751 completed March 10, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69af6a071f1c8190b2a707a0c98ddc94 completed March 10, 2026, 12:47 a.m.
Created at: March 6, 2026, 9:49 p.m.