Triple

T21040045
Position Surface form Disambiguated ID Type / Status
Subject Blackgang Chine E518296 entity
Predicate hasThemeArea P13439 FINISHED
Object Fairyland 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: Fairyland | Statement: [Blackgang Chine, hasThemeArea, Fairyland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairyland
Context triple: [Blackgang Chine, hasThemeArea, Fairyland]
  • A. Fairyland chosen
    Fairyland is a whimsical, fantasy-themed area within the Blackgang Chine amusement park on the Isle of Wight, featuring fairy-tale settings and characters designed for children and families.
  • B. Fairy World
    Fairy World is a whimsical magical realm in the Sesame Street universe where the fairy-in-training Abby Cadabby comes from and other fairies live and learn magic.
  • C. Faerie Land
    Faerie Land is the richly allegorical, fantastical realm that serves as the primary setting of Edmund Spenser’s epic poem *The Faerie Queene*.
  • D. All the Way to Fairyland
    All the Way to Fairyland is a late-19th-century collection of original fairy tales for children by British author Evelyn Sharp.
  • E. The Fairy
    "The Fairy" is one of the classic short tales included in Charles Perrault’s influential fairy-tale collection *Tales of Mother Goose*.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fceed9148190903adb3b55f65242 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:14 p.m.