Triple

T9043477
Position Surface form Disambiguated ID Type / Status
Subject Nérac E216695 entity
Predicate hasDemonym P191 FINISHED
Object Néracais
Néracais is the French demonym for inhabitants of the town of Nérac in southwestern France.
 E775347 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: Néracais | Statement: [Nérac, hasDemonym, Néracais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Néracais
Context triple: [Nérac, hasDemonym, Néracais]
  • A. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • B. Roannais
    Roannais is a natural region in central France known for its rolling countryside, agricultural landscapes, and proximity to the upper Loire River.
  • C. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • D. Écône
    Écône is a small village in the Swiss canton of Valais best known as the headquarters and principal seminary site of the traditionalist Catholic Society of Saint Pius X.
  • 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: Néracais
Triple: [Nérac, hasDemonym, Néracais]
Generated description
Néracais is the French demonym for inhabitants of the town of Nérac in southwestern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Néracais
Target entity description: Néracais is the French demonym for inhabitants of the town of Nérac in southwestern France.
  • A. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • B. Roannais
    Roannais is a natural region in central France known for its rolling countryside, agricultural landscapes, and proximity to the upper Loire River.
  • C. Chénas
    Chénas is a French appellation in the Beaujolais wine region known for producing structured, age-worthy red wines primarily from the Gamay grape.
  • D. Écône
    Écône is a small village in the Swiss canton of Valais best known as the headquarters and principal seminary site of the traditionalist Catholic Society of Saint Pius X.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b1228748190be0c4afe6e0bd9a3 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeba4c5f48190b7fc85f2137dd93e completed April 3, 2026, 4:32 p.m.
NEDg Description generation batch_69cfecf7fce08190a9b80044a2ae9745 completed April 3, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_69cff0ea8c388190bd95233db9c69038 completed April 3, 2026, 4:55 p.m.
Created at: March 30, 2026, 7:09 p.m.