Triple

T7815152
Position Surface form Disambiguated ID Type / Status
Subject Mickey's PhilharMagic E180986 entity
Predicate locatedIn P40 FINISHED
Object Fantasyland E185274 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: Fantasyland | Statement: [Mickey's PhilharMagic, locatedIn, Fantasyland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantasyland
Context triple: [Mickey's PhilharMagic, locatedIn, Fantasyland]
  • A. Fantasyland chosen
    Fantasyland is a themed area in Disney parks that brings classic fairy tales and animated stories to life through rides, attractions, and immersive environments.
  • B. The Wonderful World of Disney
    The Wonderful World of Disney is a long-running American television anthology series that presents Disney-produced films, specials, and family entertainment.
  • C. Zauberland
    Zauberland is a poetic nickname for the North Sea island of Juist, highlighting its idyllic, almost magical natural atmosphere.
  • D. Adventureland
    Adventureland is a themed land found in several Disney parks, designed to evoke exotic, tropical locales through attractions, lush landscaping, and immersive storytelling.
  • E. Adventureland
    Adventureland is a 2009 coming-of-age comedy-drama film set in a 1980s amusement park, known for its blend of humor and bittersweet romance.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb147d965881908003551710a1bbff completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:39 p.m.