Triple

T6039879
Position Surface form Disambiguated ID Type / Status
Subject ASM Clermont Auvergne E134516 entity
Predicate Top14TitleCount P25122 FINISHED
Object 2 LITERAL 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: 2 | Statement: [ASM Clermont Auvergne, Top14TitleCount, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Top14TitleCount
Context triple: [ASM Clermont Auvergne, Top14TitleCount, 2]
  • A. numberOfLeagueTitles
    Indicates the total count of league championship titles that an entity has won.
  • B. winnerTitleCount chosen
    Indicates the number of titles or championships an entity has won.
  • C. countryWithMostTitles
    Indicates the country that holds the highest number of titles (e.g., championships or awards) within a specified competition or context.
  • D. arenaCupTitles
    Indicates the number of Arena Cup championship titles an entity has won.
  • E. firstSeasonChampions
    Indicates that the subject entity won the championship in the first season of the relevant competition or series.
  • F. None of above.

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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ce10cc8190817ade56570adc92 completed March 22, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69c049eb52a08190ac10fd703735f5aa completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:08 p.m.