Triple

T13644733
Position Surface form Disambiguated ID Type / Status
Subject Roundup Rodeo BBQ E326072 entity
Predicate nearAttraction P3449 FINISHED
Object Slinky Dog Dash E64429 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: Slinky Dog Dash | Statement: [Roundup Rodeo BBQ, nearAttraction, Slinky Dog Dash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slinky Dog Dash
Context triple: [Roundup Rodeo BBQ, nearAttraction, Slinky Dog Dash]
  • A. Slinky Dog Dash chosen
    Slinky Dog Dash is a family-friendly launched roller coaster in Toy Story Land themed around Slinky Dog from Pixar’s Toy Story films.
  • B. Slinky Dog
    Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
  • C. Slinky Dog Zigzag Spin
    Slinky Dog Zigzag Spin is a family-friendly spinning coaster-style ride themed to Slinky Dog from Toy Story, located in the Toy Story Playland area of Walt Disney Studios Park at Disneyland Paris.
  • D. Monster Mutt
    Monster Mutt is a popular dog-themed monster truck known for its floppy ears, wagging tail, and appearances in Monster Jam competitions.
  • E. Bumpy Dog
    Bumpy Dog is a loyal, excitable toy dog character from Enid Blyton’s Noddy stories, known for accompanying Noddy on his adventures in Toyland.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60635d08190899806fe8936f02a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.