Triple

T15044807
Position Surface form Disambiguated ID Type / Status
Subject Dordogne department E379196 entity
Predicate subprefecture P9697 FINISHED
Object Nontron
Nontron is a historic small town in southwestern France known for its traditional knife-making craftsmanship and role as an administrative center in the Dordogne.
 E1133791 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: Nontron | Statement: [Dordogne department, subprefecture, Nontron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nontron
Context triple: [Dordogne department, subprefecture, Nontron]
  • A. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • B. Dervio
    Dervio is a small municipality in the Province of Lecco in Lombardy, northern Italy, situated on the eastern shore of Lake Como.
  • C. Lison
    Lison is a small commune in the Calvados department of Normandy in northwestern France.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Aunis
    Aunis was a historic coastal province in western France centered around the port city of La Rochelle.
  • 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: Nontron
Triple: [Dordogne department, subprefecture, Nontron]
Generated description
Nontron is a historic small town in southwestern France known for its traditional knife-making craftsmanship and role as an administrative center in the Dordogne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nontron
Target entity description: Nontron is a historic small town in southwestern France known for its traditional knife-making craftsmanship and role as an administrative center in the Dordogne.
  • A. Venucia
    Venucia is a Chinese automobile marque known for producing affordable passenger vehicles, originally established as a local brand under the Renault–Nissan–Mitsubishi Alliance.
  • B. Dervio
    Dervio is a small municipality in the Province of Lecco in Lombardy, northern Italy, situated on the eastern shore of Lake Como.
  • C. Lison
    Lison is a small commune in the Calvados department of Normandy in northwestern France.
  • D. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • E. Aunis
    Aunis was a historic coastal province in western France centered around the port city of La Rochelle.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fea0791f1c81908dcad401fa3ac245 completed May 9, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69fea11a35a88190a5ad6f261fd2d9dc completed May 9, 2026, 2:51 a.m.
Created at: April 10, 2026, 3 a.m.