Triple

T23396328
Position Surface form Disambiguated ID Type / Status
Subject Le Furan E559368 entity
Predicate flowsThrough P225 FINISHED
Object La Talaudière
La Talaudière is a commune in central France’s Loire department, situated near Saint-Étienne in the Auvergne-Rhône-Alpes region.
 E1582843 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: La Talaudière | Statement: [Le Furan, flowsThrough, La Talaudière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Talaudière
Context triple: [Le Furan, flowsThrough, La Talaudière]
  • A. La Pacaudière
    La Pacaudière is a small French commune located in the Allier department in central France.
  • B. Le Fournet
    Le Fournet is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • D. Le Teilleul
    Le Teilleul is a commune in the Manche department of northwestern France, known for its rural character within the Normandy region.
  • E. La Cézille
    La Cézille is a small locality within the Swiss municipality of Saint-Cergue in the canton of Vaud.
  • 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: La Talaudière
Triple: [Le Furan, flowsThrough, La Talaudière]
Generated description
La Talaudière is a commune in central France’s Loire department, situated near Saint-Étienne in the Auvergne-Rhône-Alpes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Talaudière
Target entity description: La Talaudière is a commune in central France’s Loire department, situated near Saint-Étienne in the Auvergne-Rhône-Alpes region.
  • A. La Pacaudière
    La Pacaudière is a small French commune located in the Allier department in central France.
  • B. Le Fournet
    Le Fournet is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • D. Le Teilleul
    Le Teilleul is a commune in the Manche department of northwestern France, known for its rural character within the Normandy region.
  • E. La Cézille
    La Cézille is a small locality within the Swiss municipality of Saint-Cergue in the canton of Vaud.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dc48008190bdcf92f8d9a5232d completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5def932881908633ef7c39ae5f37 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5f90146c8190b5035747abcfdb6e completed May 19, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0c601b5d288190b5cf4f3e0c8cde15 completed May 19, 2026, 1:05 p.m.
Created at: April 17, 2026, 5:36 p.m.