Triple

T18450328
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Apt E450763 entity
Predicate contains P35 FINISHED
Object Cadenet
Cadenet is a commune in southeastern France’s Vaucluse department, known for its Provençal character and location in the Luberon region.
 E1325632 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: Cadenet | Statement: [arrondissement of Apt, contains, Cadenet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cadenet
Context triple: [arrondissement of Apt, contains, Cadenet]
  • A. Crevant-Laveine
    Crevant-Laveine is a small commune in central France’s Puy-de-Dôme department, characterized by its rural setting and traditional Auvergne landscape.
  • B. Custinne
    Custinne is a small village in the municipality of Houyet in the Walloon region of Belgium.
  • C. Castellane
    Castellane is a historic small town in southeastern France known as a gateway to the Verdon Gorge and as an administrative center in the Alpes-de-Haute-Provence department.
  • D. Longuyon
    Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
  • E. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • 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: Cadenet
Triple: [arrondissement of Apt, contains, Cadenet]
Generated description
Cadenet is a commune in southeastern France’s Vaucluse department, known for its Provençal character and location in the Luberon region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cadenet
Target entity description: Cadenet is a commune in southeastern France’s Vaucluse department, known for its Provençal character and location in the Luberon region.
  • A. Crevant-Laveine
    Crevant-Laveine is a small commune in central France’s Puy-de-Dôme department, characterized by its rural setting and traditional Auvergne landscape.
  • B. Custinne
    Custinne is a small village in the municipality of Houyet in the Walloon region of Belgium.
  • C. Castellane
    Castellane is a historic small town in southeastern France known as a gateway to the Verdon Gorge and as an administrative center in the Alpes-de-Haute-Provence department.
  • D. Longuyon
    Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
  • E. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe3a8248190ab103d8e41141113 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a041176a7e88190a38e3ace547212c2 completed May 13, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0412085b788190b4308f7ece1c7fa3 completed May 13, 2026, 5:54 a.m.
Created at: April 10, 2026, 11:31 a.m.