Triple

T12694646
Position Surface form Disambiguated ID Type / Status
Subject Creil E303298 entity
Predicate demonym P191 FINISHED
Object Creillois
Creillois is the French term for inhabitants of the town of Creil in northern France.
 E1009730 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: Creillois | Statement: [Creil, demonym, Creillois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Creillois
Context triple: [Creil, demonym, Creillois]
  • A. Langrois
    Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
  • B. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • C. Barrois
    Barrois is a historical region in northeastern France that formed the core territory of the medieval County of Bar.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. 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.
  • 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: Creillois
Triple: [Creil, demonym, Creillois]
Generated description
Creillois is the French term for inhabitants of the town of Creil in northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Creillois
Target entity description: Creillois is the French term for inhabitants of the town of Creil in northern France.
  • A. Langrois
    Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
  • B. Auberjonois
    Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
  • C. Barrois
    Barrois is a historical region in northeastern France that formed the core territory of the medieval County of Bar.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. 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.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a53c03248190bd16ebaed9958815 completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a6db731c819091b96c4ed6a50f19 completed May 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6a8a31264819082c1ce67eaa529cc completed May 3, 2026, 1:45 a.m.
Created at: April 9, 2026, 5:22 p.m.