Triple

T14493963
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Avallon E359440 entity
Predicate contains P35 FINISHED
Object Lormes
Lormes is a small commune in the Nièvre department of central France, known for its rural setting in the Morvan region and historic village character.
 E1106966 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: Lormes | Statement: [arrondissement of Avallon, contains, Lormes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lormes
Context triple: [arrondissement of Avallon, contains, Lormes]
  • A. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • B. Lorcé
    Lorcé is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Hurepoix
    Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
  • E. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • 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: Lormes
Triple: [arrondissement of Avallon, contains, Lormes]
Generated description
Lormes is a small commune in the Nièvre department of central France, known for its rural setting in the Morvan region and historic village character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lormes
Target entity description: Lormes is a small commune in the Nièvre department of central France, known for its rural setting in the Morvan region and historic village character.
  • A. Ermontoise
    Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
  • B. Lorcé
    Lorcé is a small village in the municipality of Stoumont in the province of Liège, Belgium.
  • C. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • D. Hurepoix
    Hurepoix is a historic region of northern France, southwest of Paris, known for its rural landscapes and small towns such as Dourdan.
  • E. Fremault
    Fremault is the surname of American film and television actress Anita Louise.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930f34d08190b4b30e54e2f702ed completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aac9e4081908bb361c0bff211c1 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8b8566cc81908c5cecefb5d71e63 completed May 8, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69fd8e8c320c8190b08af08226e50622 completed May 8, 2026, 7:19 a.m.
Created at: April 10, 2026, 1:21 a.m.