Triple

T4939496
Position Surface form Disambiguated ID Type / Status
Subject Langres E110891 entity
Predicate demonym P191 FINISHED
Object Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
 E489474 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: Langrois | Statement: [Langres, demonym, Langrois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Langrois
Context triple: [Langres, demonym, Langrois]
  • A. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • B. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • C. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • 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. L’Arbresle
    L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • 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: Langrois
Triple: [Langres, demonym, Langrois]
Generated description
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Langrois
Target entity description: Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
  • A. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • B. Les Breuleux
    Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
  • C. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • 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. L’Arbresle
    L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708a3dcc81908b6628864fe0db0a completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea46996c481908ec7b783ac9a20b1 completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea4f9487c8190a4b16dabd6cb7117 completed March 21, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69bea5654dc08190b52b633167cdd5bb completed March 21, 2026, 2:04 p.m.
Created at: March 20, 2026, 1:31 p.m.