Triple

T18450397
Position Surface form Disambiguated ID Type / Status
Subject canton of Pertuis E450764 entity
Predicate contains P35 FINISHED
Object Villelaure
Villelaure is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting and proximity to the Luberon region.
E1343688 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: Villelaure | Statement: [canton of Pertuis, contains, Villelaure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villelaure
Context triple: [canton of Pertuis, contains, Villelaure]
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • C. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • D. Lezayre
    Lezayre is a rural parish on the Isle of Man known for its countryside landscapes and proximity to the town of Ramsey.
  • E. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • 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: Villelaure
Triple: [canton of Pertuis, contains, Villelaure]
Generated description
Villelaure is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting and proximity to the Luberon region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Villelaure
Target entity description: Villelaure is a small commune in southeastern France’s Vaucluse department, known for its Provençal rural setting and proximity to the Luberon region.
  • A. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • B. La Verrière
    La Verrière is a suburban commune in the Yvelines department of north-central France, located within the Paris metropolitan area.
  • C. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • D. Lezayre
    Lezayre is a rural parish on the Isle of Man known for its countryside landscapes and proximity to the town of Ramsey.
  • E. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • 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_6a055ba910448190a366b510ca9783d3 completed May 14, 2026, 5:20 a.m.
NEDg Description generation batch_6a055d0ae0bc81908490b1d8d02ba59d completed May 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_6a055dab68808190b06832dbcd7f0904 completed May 14, 2026, 5:29 a.m.
Created at: April 10, 2026, 11:31 a.m.