Triple

T12287344
Position Surface form Disambiguated ID Type / Status
Subject Gave de Pau basin E292863 entity
Predicate containsRiver P165 FINISHED
Object Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
 E974940 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: Léez | Statement: [Gave de Pau basin, containsRiver, Léez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Léez
Context triple: [Gave de Pau basin, containsRiver, Léez]
  • A. Léaz
    Léaz is a small French commune located in eastern France near the Swiss border, within the Ain department.
  • B. Lees
    Lees is a village in the Metropolitan Borough of Oldham, Greater Manchester, England, historically part of Lancashire.
  • C. Leme
    Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
  • D. Leen
    Leen is the name of a river in Nottinghamshire, England, known as the River Leen, which flows through the city of Nottingham before joining the River Trent.
  • E. Lleó
    Lleó is a Spanish-language surname of Catalan origin borne by various individuals, including Cuban jurist and former president Manuel Urrutia Lleó.
  • 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: Léez
Triple: [Gave de Pau basin, containsRiver, Léez]
Generated description
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Léez
Target entity description: Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
  • A. Léaz
    Léaz is a small French commune located in eastern France near the Swiss border, within the Ain department.
  • B. Lees
    Lees is a village in the Metropolitan Borough of Oldham, Greater Manchester, England, historically part of Lancashire.
  • C. Leme
    Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
  • D. Leen
    Leen is the name of a river in Nottinghamshire, England, known as the River Leen, which flows through the city of Nottingham before joining the River Trent.
  • E. Lleó
    Lleó is a Spanish-language surname of Catalan origin borne by various individuals, including Cuban jurist and former president Manuel Urrutia Lleó.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ffb208190a4b86d7d4ceee045 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7315608190963c714a0b128dbb completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f9493d081909a543bcafeb508d1 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f620ad9ec0819099909142fbad6412 completed May 2, 2026, 4:05 p.m.
Created at: April 8, 2026, 9:52 p.m.