Triple

T15558357
Position Surface form Disambiguated ID Type / Status
Subject Daisy Cruiser E370928 entity
Predicate belongsToCup P119071 FINISHED
Object Flower Cup E1154597 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: Flower Cup | Statement: [Daisy Cruiser, belongsToCup, Flower Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flower Cup
Context triple: [Daisy Cruiser, belongsToCup, Flower Cup]
  • A. Flower Cup chosen
    Flower Cup is a racing tournament cup in the Mario Kart series, typically featuring beginner-friendly tracks with bright, colorful themes.
  • B. Flower Piece
    Flower Piece is the English title of Robert Schumann’s short piano work "Blumenstück in D-flat major, Op. 19," a lyrical Romantic character piece.
  • C. Flower Lady
    Flower Lady is a song featured on Phil Ochs’s 1967 album "Pleasures of the Harbor."
  • D. Crossing Cup
    Crossing Cup is a downloadable content Grand Prix cup in Mario Kart 8 featuring tracks inspired by the Animal Crossing series and other themed courses.
  • E. Maiden Cup
    The Maiden Cup is a prestigious annual horse racing event held in Mauritius, attracting top thoroughbreds and significant public attention.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456635588190a2473bcff3ae4a53 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.