Triple

T3361039
Position Surface form Disambiguated ID Type / Status
Subject Magic Kingdom E70719 entity
Predicate hasAttraction P105 FINISHED
Object It’s a Small World E118046 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: It’s a Small World | Statement: [Magic Kingdom, hasAttraction, It’s a Small World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: It’s a Small World
Context triple: [Magic Kingdom, hasAttraction, It’s a Small World]
  • A. It's a Small World (After All) chosen
    "It's a Small World (After All)" is a famous, upbeat theme song written for the Disney attraction "It's a Small World," celebrated for its simple melody and message of global unity.
  • B. Small World
    "Small World" is a popular song from the 1959 Broadway musical Gypsy, known for its wistful, reflective tone and central role in the show’s narrative.
  • C. Small World
    "Small World" is a horror novel by American author Tabitha King that explores themes of obsession, power, and psychological terror.
  • D. Around the World
    "Around the World" is a song featured on the album "Lotus," likely contributing to the record's overall musical and thematic style.
  • E. Soarin' Around the World
    Soarin' Around the World is a popular motion-simulator hang-gliding attraction at Disney parks that takes guests on an immersive aerial journey over famous landmarks across the globe.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb267ec1081909a4e3e227d5bad01 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32546651481908dc6ab15b3344788 completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:13 p.m.