Triple

T22690952
Position Surface form Disambiguated ID Type / Status
Subject Les Rouges E561048 entity
Predicate meaning P129 FINISHED
Object The Reds NE NERFINISHED

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: The Reds | Statement: [Les Rouges, meaning, The Reds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Reds
Context triple: [Les Rouges, meaning, The Reds]
  • A. The Reds
    The Reds is the widely used nickname for Liverpool Football Club, one of England’s most successful and historically significant football teams.
  • B. The Reds
    The Reds is the common nickname for Toronto FC, a professional soccer club based in Toronto that competes in Major League Soccer.
  • C. The Reds
    The Reds is a common nickname for Hapoel Tel Aviv F.C., a prominent Israeli football club known for its passionate fan base and historic success.
  • D. The Reds
    The Reds is the common nickname for Barnsley F.C., an English professional football club based in South Yorkshire known for its traditional red home kit.
  • E. The Reds chosen
    The Reds is a nickname commonly used for sports teams that wear red uniforms, most famously associated with football clubs in various countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.