Triple

T10045037
Position Surface form Disambiguated ID Type / Status
Subject Nive E207593 entity
Predicate hasPart P35 FINISHED
Object Nive de Béhérobie
Nive de Béhérobie is a headwater stream in the French Basque Country that forms one of the main upper branches of the Nive River.
 E837536 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: Nive de Béhérobie | Statement: [Nive, hasPart, Nive de Béhérobie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nive de Béhérobie
Context triple: [Nive, hasPart, Nive de Béhérobie]
  • A. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • B. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • C. Le Bémont
    Le Bémont is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau and known for its rural, pastoral landscape.
  • D. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • E. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • 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: Nive de Béhérobie
Triple: [Nive, hasPart, Nive de Béhérobie]
Generated description
Nive de Béhérobie is a headwater stream in the French Basque Country that forms one of the main upper branches of the Nive River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nive de Béhérobie
Target entity description: Nive de Béhérobie is a headwater stream in the French Basque Country that forms one of the main upper branches of the Nive River.
  • A. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • B. Surpierre
    Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
  • C. Le Bémont
    Le Bémont is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau and known for its rural, pastoral landscape.
  • D. La Bessiere
    La Bessiere is a key character in the 1930 romantic drama film "Morocco," involved in the central love triangle alongside the leads.
  • E. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf62ecf081909c055171b78a883a completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282801c548190b6031bdde17f6e14 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d283508a24819086f384a7852f1be9 completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d284105be08190a703cea6ef5d6cbc completed April 5, 2026, 3:47 p.m.
Created at: March 30, 2026, 8:56 p.m.