Triple

T15592739
Position Surface form Disambiguated ID Type / Status
Subject Bar-le-Duc E374784 entity
Predicate demonym P191 FINISHED
Object Barisien
A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
 E1165416 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: Barisien | Statement: [Bar-le-Duc, demonym, Barisien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barisien
Context triple: [Bar-le-Duc, demonym, Barisien]
  • A. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • B. Riom
    Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
  • C. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • D. Lyon
    Lyon is a historic Scottish noble family name most prominently associated with the Earls of Strathmore and Kinghorne.
  • E. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • 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: Barisien
Triple: [Bar-le-Duc, demonym, Barisien]
Generated description
A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barisien
Target entity description: A Barisien is a resident or native of the French town of Bar-le-Duc in the Grand Est region.
  • A. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • B. Riom
    Riom is a historic town in central France known for its preserved medieval architecture and role as a former capital of the Auvergne region.
  • C. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • D. Lyon
    Lyon is a historic Scottish noble family name most prominently associated with the Earls of Strathmore and Kinghorne.
  • E. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c55fa248190b114a5b63560f87b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50020d748190be36f3c08df43e40 completed May 9, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff50a349688190ab7a18fa4460d86e completed May 9, 2026, 3:20 p.m.
Created at: April 10, 2026, 4:12 a.m.