Triple

T6671473
Position Surface form Disambiguated ID Type / Status
Subject Mont Ventoux E151739 entity
Predicate nearbyTown P3883 FINISHED
Object Bédoin
Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
 E610339 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: Bédoin | Statement: [Mont Ventoux, nearbyTown, Bédoin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bédoin
Context triple: [Mont Ventoux, nearbyTown, Bédoin]
  • A. Booué
    Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
  • B. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • E. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • 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: Bédoin
Triple: [Mont Ventoux, nearbyTown, Bédoin]
Generated description
Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bédoin
Target entity description: Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
  • A. Booué
    Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
  • B. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • C. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • D. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • E. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0ca49f88190b9c8e0f641be0c3f completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef14b47c8190ac181f272025fb0d completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a498cc8190a0494082b91b012d completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f136ac648190b94a7cda43139fd0 completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:03 p.m.