Triple

T19044628
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Ussel E466098 entity
Predicate contains P35 FINISHED
Object Sornac
Sornac is a commune in central France’s Corrèze department, known for its rural setting within the Nouvelle-Aquitaine region.
 E1355770 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: Sornac | Statement: [arrondissement of Ussel, contains, Sornac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sornac
Context triple: [arrondissement of Ussel, contains, Sornac]
  • A. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • B. Morlon
    Morlon is a small municipality in the canton of Fribourg in western Switzerland, situated on the shores of the artificial Lake of Gruyère.
  • C. Sorn
    Sorn is a small rural village in East Ayrshire, Scotland, known for its historic buildings and scenic setting along the River Ayr.
  • D. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • E. Yzeron
    Yzeron is a small river in eastern France that flows through the Lyon metropolitan area, including the commune of Oullins.
  • 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: Sornac
Triple: [arrondissement of Ussel, contains, Sornac]
Generated description
Sornac is a commune in central France’s Corrèze department, known for its rural setting within the Nouvelle-Aquitaine region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sornac
Target entity description: Sornac is a commune in central France’s Corrèze department, known for its rural setting within the Nouvelle-Aquitaine region.
  • A. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • B. Morlon
    Morlon is a small municipality in the canton of Fribourg in western Switzerland, situated on the shores of the artificial Lake of Gruyère.
  • C. Sorn
    Sorn is a small rural village in East Ayrshire, Scotland, known for its historic buildings and scenic setting along the River Ayr.
  • D. Trogneux
    Trogneux is a French surname notably borne by Brigitte Macron, the First Lady of France.
  • E. Yzeron
    Yzeron is a small river in eastern France that flows through the Lyon metropolitan area, including the commune of Oullins.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d803b2b08190b057d4b5bc555d4f completed April 20, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c54f0fbc8190aa1c8d0cae900aec completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c7c2a60c819081cd60e47efd84c4 completed May 14, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_6a05c842970481909deba4dd02002bad completed May 14, 2026, 1:04 p.m.
Created at: April 10, 2026, 12:03 p.m.