Triple

T2923911
Position Surface form Disambiguated ID Type / Status
Subject ASVEL Basket E78797 entity
Predicate hasRivalryWith P893 FINISHED
Object Limoges CSP
Limoges CSP is a prominent French professional basketball club, historically one of the country’s most successful teams and the first French club to win the EuroLeague.
 E309575 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: Limoges CSP | Statement: [ASVEL Basket, hasRivalryWith, Limoges CSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Limoges CSP
Context triple: [ASVEL Basket, hasRivalryWith, Limoges CSP]
  • A. Limoges
    Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
  • B. Sèvres
    Sèvres is a commune in the southwestern suburbs of Paris, France, historically notable as the site where the post–World War I Treaty of Sèvres was concluded.
  • C. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • D. Aubusson
    Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
  • E. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • 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: Limoges CSP
Triple: [ASVEL Basket, hasRivalryWith, Limoges CSP]
Generated description
Limoges CSP is a prominent French professional basketball club, historically one of the country’s most successful teams and the first French club to win the EuroLeague.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Limoges CSP
Target entity description: Limoges CSP is a prominent French professional basketball club, historically one of the country’s most successful teams and the first French club to win the EuroLeague.
  • A. Limoges
    Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
  • B. Sèvres
    Sèvres is a commune in the southwestern suburbs of Paris, France, historically notable as the site where the post–World War I Treaty of Sèvres was concluded.
  • C. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • D. Aubusson
    Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
  • E. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97bf2df88190bd4f1e90d4656507 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056375b5c819081c7d4fd506cbf25 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05f640afc8190bf9b5b90ff7c9b0e completed March 10, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b06010c1948190a2e13084a79b106b completed March 10, 2026, 6:16 p.m.
Created at: March 8, 2026, 2:55 p.m.