Triple

T20056897
Position Surface form Disambiguated ID Type / Status
Subject canton of Lunéville-1 E499361 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Fraimbois
Fraimbois is a small commune in the Meurthe-et-Moselle department in northeastern France.
 E1408926 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: Fraimbois | Statement: [canton of Lunéville-1, containsAdministrativeTerritorialEntity, Fraimbois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fraimbois
Context triple: [canton of Lunéville-1, containsAdministrativeTerritorialEntity, Fraimbois]
  • A. Le Brasier
    Le Brasier is a film score composed by French composer Frédéric Talgorn, recognized as one of his notable works in cinema music.
  • B. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Loiseau
    Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
  • E. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • 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: Fraimbois
Triple: [canton of Lunéville-1, containsAdministrativeTerritorialEntity, Fraimbois]
Generated description
Fraimbois is a small commune in the Meurthe-et-Moselle department in northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fraimbois
Target entity description: Fraimbois is a small commune in the Meurthe-et-Moselle department in northeastern France.
  • A. Le Brasier
    Le Brasier is a film score composed by French composer Frédéric Talgorn, recognized as one of his notable works in cinema music.
  • B. Thieux
    Thieux is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Loiseau
    Loiseau is a French surname most notably borne by Gustave Loiseau, a post-Impressionist painter known for his landscapes and depictions of rural France.
  • E. Lauzerte
    Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e663337d0c8190b82422802396cd67 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08160c59948190acdef6a5ec275101 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816d3c71081909138d3144a108266 completed May 16, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a081798cb48819084ab456f79b68eb9 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:38 p.m.