Triple

T15683021
Position Surface form Disambiguated ID Type / Status
Subject Aberdeen, South Dakota E377625 entity
Predicate hasAttraction P105 FINISHED
Object Storybook Land E58364 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: Storybook Land | Statement: [Aberdeen, South Dakota, hasAttraction, Storybook Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storybook Land
Context triple: [Aberdeen, South Dakota, hasAttraction, Storybook Land]
  • A. Storybook Land chosen
    Storybook Land is a fairy tale–themed amusement park in Aberdeen, South Dakota, featuring storybook characters, themed rides, and attractions for young children and families.
  • B. Discoveryland
    Discoveryland is a retro-futuristic themed land at Disneyland Paris inspired by the visionary works of Jules Verne and classic science fiction.
  • C. Wonderland Amusement Park
    Wonderland Amusement Park was a historic amusement park in Revere, Massachusetts, known for its early 20th-century rides, attractions, and seaside entertainment.
  • D. Wonderland Amusement Park
    Wonderland Amusement Park is a regional family amusement park in Amarillo, Texas, featuring a variety of rides, games, and seasonal attractions.
  • E. Fantasyland Station
    Fantasyland Station is a themed stop on the Walt Disney World Railroad in Magic Kingdom, serving guests traveling to and from the park’s Fantasyland area.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.