Triple

T10712268
Position Surface form Disambiguated ID Type / Status
Subject Claudiu Keșerü E252566 entity
Predicate leagueParticipatedIn P2209 FINISHED
Object Ligue 1 E66666 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: Ligue 1 | Statement: [Claudiu Keșerü, leagueParticipatedIn, Ligue 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ligue 1
Context triple: [Claudiu Keșerü, leagueParticipatedIn, Ligue 1]
  • A. Ligue 1 chosen
    Ligue 1 is France’s top professional football division, featuring the country’s leading clubs in the highest tier of its league system.
  • B. Ligue 1 and Ligue 2
    Ligue 1 and Ligue 2 are the top two professional divisions of French football, forming the elite tiers of the national league system.
  • C. Ligue A (France)
    Ligue A (France) is the top professional men's volleyball league in France, featuring the country's leading clubs in the sport.
  • D. Ligue de Football Professionnel
    The Ligue de Football Professionnel is the organization that oversees and manages France’s top professional football leagues and related competitions.
  • E. Ligue 2
    Ligue 2 is the second tier of professional football in the French league system, sitting directly below Ligue 1.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe533ec081909eafab85f6f6d6b9 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d99917df2c819099be2a9b9c4a2ce7 completed April 11, 2026, 12:43 a.m.
Created at: April 8, 2026, 9:13 p.m.