Triple

T17933389
Position Surface form Disambiguated ID Type / Status
Subject King George VI Chase E448389 entity
Predicate notableWinner P2766 FINISHED
Object Kauto Star 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: Kauto Star | Statement: [King George VI Chase, notableWinner, Kauto Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kauto Star
Context triple: [King George VI Chase, notableWinner, Kauto Star]
  • A. Kauto Star chosen
    Kauto Star was a legendary French-bred, British-trained National Hunt racehorse best known for winning multiple King George VI Chases and Cheltenham Gold Cups.
  • B. Katran
    Katran is a high-performance, open-source layer 4 load balancer developed by Meta that leverages eBPF for efficient packet processing in large-scale network infrastructures.
  • C. Rockhal
    Rockhal is a major contemporary music venue and cultural center in Luxembourg, known for hosting international concerts and events.
  • D. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • E. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a55381708190b5dfce6a81bb20d8 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:21 a.m.