Triple

T7322448
Position Surface form Disambiguated ID Type / Status
Subject Buëch River E168783 entity
Predicate hasName P744 FINISHED
Object Buëch
Buëch is a river in southeastern France that flows through the Hautes-Alpes and Drôme departments before joining the Durance.
 E656950 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: Buëch | Statement: [Buëch River, hasName, Buëch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buëch
Context triple: [Buëch River, hasName, Buëch]
  • 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. Bédoin
    Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
  • C. Brévands
    Brévands is a former commune in the Manche department of northwestern France, now part of the larger municipality of Carentan-les-Marais.
  • D. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: Buëch
Triple: [Buëch River, hasName, Buëch]
Generated description
Buëch is a river in southeastern France that flows through the Hautes-Alpes and Drôme departments before joining the Durance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buëch
Target entity description: Buëch is a river in southeastern France that flows through the Hautes-Alpes and Drôme departments before joining the Durance.
  • 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. Bédoin
    Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
  • C. Brévands
    Brévands is a former commune in the Manche department of northwestern France, now part of the larger municipality of Carentan-les-Marais.
  • D. Debourg
    Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0446628819093e96236f1aa4a9b completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0609dc81909f298d3963fc88af completed March 28, 2026, 3:08 p.m.
NEDg Description generation batch_69c7efbe72c88190b3523c05224d13b3 completed March 28, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69c7f053d2108190a0f5e3b1a3516171 completed March 28, 2026, 3:14 p.m.
Created at: March 27, 2026, 3:03 p.m.