Triple

T8934010
Position Surface form Disambiguated ID Type / Status
Subject James Debbah E212728 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Standard Liège E552945 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: Standard Liège | Statement: [James Debbah, memberOfSportsTeam, Standard Liège]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standard Liège
Context triple: [James Debbah, memberOfSportsTeam, Standard Liège]
  • A. Standard Liège chosen
    Standard Liège is a prominent Belgian professional football club based in Liège, known for its rich history and multiple domestic league titles.
  • B. Leffe
    Leffe is a historic Belgian abbey beer brand known for its rich, flavorful ales, now produced and marketed globally by AB InBev.
  • C. Jupiler
    Jupiler is a popular Belgian pilsner beer brand widely known for its strong association with football and major sports sponsorships.
  • D. Bierges
    Bierges is a village in Walloon Brabant, Belgium, that forms part of the municipality of Wavre.
  • E. La Flèche Wallonne
    La Flèche Wallonne is a prestigious one-day professional road cycling race held annually in Belgium, renowned for its steep, decisive climbs such as the Mur de Huy.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668fa87c8190bfeda820368b89e4 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d965cc8190bad0a990df318698 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:57 p.m.