Triple

T18123060
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Aurillac E433791 entity
Predicate contains P35 FINISHED
Object Crandelles
Crandelles is a small commune in the Cantal department of south-central France, situated in the Auvergne-Rhône-Alpes region.
 E1307068 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: Crandelles | Statement: [arrondissement of Aurillac, contains, Crandelles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crandelles
Context triple: [arrondissement of Aurillac, contains, Crandelles]
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. Rendeux
    Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
  • C. Orry
    Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
  • D. Candiac
    Candiac is a suburban city located on the South Shore of Montreal in the province of Quebec, Canada.
  • E. Cressner
    Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
  • 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: Crandelles
Triple: [arrondissement of Aurillac, contains, Crandelles]
Generated description
Crandelles is a small commune in the Cantal department of south-central France, situated in the Auvergne-Rhône-Alpes region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crandelles
Target entity description: Crandelles is a small commune in the Cantal department of south-central France, situated in the Auvergne-Rhône-Alpes region.
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. Rendeux
    Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
  • C. Orry
    Orry is the given name of Orry-Kelly, the acclaimed Australian costume designer who won multiple Academy Awards for his work in Hollywood cinema.
  • D. Candiac
    Candiac is a suburban city located on the South Shore of Montreal in the province of Quebec, Canada.
  • E. Cressner
    Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddeb2d7881909326cb9d2f5e2fb5 completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c4590108190b30a4f90aea27301 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037cfd596481909d0c361a11185194 completed May 12, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_6a037e7bbd1c8190a88f57cdf5bf30f5 completed May 12, 2026, 7:24 p.m.
Created at: April 10, 2026, 10:28 a.m.