Triple

T23142264
Position Surface form Disambiguated ID Type / Status
Subject canton of Pont-l’Évêque E577493 entity
Predicate contains P35 FINISHED
Object Clarbec
Clarbec is a small commune in the Calvados department of the Normandy region in northwestern France.
 E1584282 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: Clarbec | Statement: [canton of Pont-l’Évêque, contains, Clarbec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clarbec
Context triple: [canton of Pont-l’Évêque, contains, Clarbec]
  • A. Lecelles
    Lecelles is a commune in northern France’s Nord department, known for its rural character and location near the Belgian border.
  • B. Bannalec
    Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
  • C. Belval
    Belval is a modern urban district in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major cultural, educational, and business hub.
  • D. Bouvron
    Bouvron is a small commune in western France, situated in the Loire-Atlantique department of the Pays de la Loire region.
  • E. Bellecourt
    Bellecourt is a surname most notably associated with Native American activist Vernon Bellecourt.
  • 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: Clarbec
Triple: [canton of Pont-l’Évêque, contains, Clarbec]
Generated description
Clarbec 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: Clarbec
Target entity description: Clarbec is a small commune in the Calvados department of the Normandy region in northwestern France.
  • A. Lecelles
    Lecelles is a commune in northern France’s Nord department, known for its rural character and location near the Belgian border.
  • B. Bannalec
    Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
  • C. Belval
    Belval is a modern urban district in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major cultural, educational, and business hub.
  • D. Bouvron
    Bouvron is a small commune in western France, situated in the Loire-Atlantique department of the Pays de la Loire region.
  • E. Bellecourt
    Bellecourt is a surname most notably associated with Native American activist Vernon Bellecourt.
  • 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_6a0c5daffdc4819092f5750e3ee2d402 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c61c10b908190a5c3eeaedcb2e8cb completed May 19, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a0c62f9fba081908d822630e09d3bee completed May 19, 2026, 1:17 p.m.
Created at: April 17, 2026, 4 p.m.