Triple

T15000778
Position Surface form Disambiguated ID Type / Status
Subject Złote Lwy E374081 entity
Predicate alsoKnownAs P39 FINISHED
Object Golden Lions E374080 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: Golden Lions | Statement: [Złote Lwy, alsoKnownAs, Golden Lions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Lions
Context triple: [Złote Lwy, alsoKnownAs, Golden Lions]
  • A. Golden Lions chosen
    The Golden Lions are the top prizes awarded for best film at Poland’s prestigious Gdynia Film Festival.
  • B. Golden Lions
    The Golden Lions are a professional South African rugby union team based in Johannesburg that competes in domestic and international competitions.
  • C. Golden Bulls
    Golden Bulls is the athletic mascot and nickname representing the sports teams of Johnson C. Smith University.
  • D. The Lions
    The Lions is the nickname of Millwall F.C., a professional football club based in South East London known for its passionate fanbase and long-standing presence in English football.
  • E. The Lions
    The Lions is the nickname of Livingston F.C., a professional football club based in Livingston, Scotland.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded72fec948190b1c9705538c57976 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969e2d888190afbb9c8fd8a707c8 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:54 a.m.