Triple

T15966997
Position Surface form Disambiguated ID Type / Status
Subject Kop Sang et Or E387216 entity
Predicate supportsTeamNickname P24877 FINISHED
Object Sang et Or E395515 NE FINISHED

How this triple was built (2 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: Sang et Or | Statement: [Kop Sang et Or, supportsTeamNickname, Sang et Or]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sang et Or
Context triple: [Kop Sang et Or, supportsTeamNickname, Sang et Or]
  • A. Sang et Or chosen
    Sang et Or is the traditional nickname of the French rugby union club USA Perpignan, referencing its iconic red and gold team colors.
  • B. Kop Sang et Or
    Kop Sang et Or is a prominent supporters' group known for passionately backing the French football club RC Lens.
  • C. La Bonne Chanson
    La Bonne Chanson is a celebrated collection of love poems by French Symbolist poet Paul Verlaine, noted for its musicality and emotional intensity.
  • D. Coeurs
    Coeurs is a 2006 French ensemble drama film by Alain Resnais that interweaves the lonely lives and romantic entanglements of several characters in contemporary Paris.
  • E. Éclat
    Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15726536881908b603e43ae1acafb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1893388190800f013fab415ae7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.