Triple

T7848719
Position Surface form Disambiguated ID Type / Status
Subject Anaheim E181988 entity
Predicate hasAttraction P105 FINISHED
Object Downtown Disney District E184835 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: Downtown Disney District | Statement: [Anaheim, hasAttraction, Downtown Disney District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Disney District
Context triple: [Anaheim, hasAttraction, Downtown Disney District]
  • A. Downtown Disney chosen
    Downtown Disney is an outdoor shopping, dining, and entertainment district located adjacent to the Disneyland Resort in Anaheim, California.
  • B. Disney’s BoardWalk entertainment district
    Disney’s BoardWalk entertainment district is a lively, turn-of-the-century Atlantic City–style waterfront area at Walt Disney World featuring restaurants, nightlife, shops, and entertainment along a scenic promenade.
  • C. Disneyland Resort
    Disneyland Resort is a major Disney-themed vacation destination in Southern California featuring multiple theme parks, hotels, and entertainment areas.
  • D. Disney Springs
    Disney Springs is an outdoor shopping, dining, and entertainment complex at the Walt Disney World Resort in Florida.
  • E. Disneytown
    Disneytown is an outdoor shopping, dining, and entertainment district adjacent to Shanghai Disneyland, featuring themed restaurants, retail stores, and live performances.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e7f5988190808ae4dcfbc06991 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5afbb02481909008eb295c4825c1 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:50 p.m.