Triple

T23142246
Position Surface form Disambiguated ID Type / Status
Subject canton of Pont-l’Évêque E577493 entity
Predicate contains P35 FINISHED
Object Le Fournet
Le Fournet is a small commune in the Calvados department of the Normandy region in northwestern France.
 E1574131 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: Le Fournet | Statement: [canton of Pont-l’Évêque, contains, Le Fournet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le Fournet
Context triple: [canton of Pont-l’Évêque, contains, Le Fournet]
  • A. Le Falgoux
    Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
  • B. Le Fauconnier
    Le Fauconnier is the surname of Henri Le Fauconnier, a French painter associated with the Cubist movement in the early 20th century.
  • C. Le Barroux
    Le Barroux is a picturesque hilltop village in southeastern France, known for its medieval castle and traditional Provençal character.
  • D. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • E. Le Vanneur
    Le Vanneur is the French title of the painting commonly known in English as "The Winnower," depicting a rural laborer winnowing grain.
  • 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: Le Fournet
Triple: [canton of Pont-l’Évêque, contains, Le Fournet]
Generated description
Le Fournet is a small commune in the Calvados department of the Normandy region in northwestern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le Fournet
Target entity description: Le Fournet is a small commune in the Calvados department of the Normandy region in northwestern France.
  • A. Le Falgoux
    Le Falgoux is a small rural commune in the Cantal department of south-central France, nestled in the Auvergne volcanic mountains.
  • B. Le Fauconnier
    Le Fauconnier is the surname of Henri Le Fauconnier, a French painter associated with the Cubist movement in the early 20th century.
  • C. Le Barroux
    Le Barroux is a picturesque hilltop village in southeastern France, known for its medieval castle and traditional Provençal character.
  • D. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • E. Le Vanneur
    Le Vanneur is the French title of the painting commonly known in English as "The Winnower," depicting a rural laborer winnowing grain.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecb72fc8190a24e8f5756217a36 completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308fd60c8190afd340bd74423220 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c32dc646081909d3c36d089d61c00 completed May 19, 2026, 9:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c35636e908190ae11d96deb15e1f5 completed May 19, 2026, 10:03 a.m.
Created at: April 17, 2026, 4 p.m.