Triple

T647181
Position Surface form Disambiguated ID Type / Status
Subject Orlando E11265 entity
Predicate hasAttraction P105 FINISHED
Object Walt Disney World Resort E1189 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: Walt Disney World Resort | Statement: [Orlando, hasAttraction, Walt Disney World Resort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walt Disney World Resort
Context triple: [Orlando, hasAttraction, Walt Disney World Resort]
  • A. Walt Disney World Resort chosen
    Walt Disney World Resort is a massive entertainment complex near Orlando known for its theme parks, resorts, and attractions operated by The Walt Disney Company.
  • B. Epcot Resort Area
    The Epcot Resort Area is a collection of themed hotels, entertainment, and dining venues located around Crescent Lake near Epcot at Walt Disney World Resort in Florida.
  • C. Universal Orlando Resort
    Universal Orlando Resort is a major theme park and entertainment complex in Orlando known for its movie-themed attractions, hotels, and shopping and dining district.
  • D. Disney Springs
    Disney Springs is an outdoor shopping, dining, and entertainment complex at the Walt Disney World Resort in Florida.
  • E. Disneyland Resort
    Disneyland Resort is a major Disney-themed vacation destination in Southern California featuring multiple theme parks, hotels, and entertainment areas.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f1cb24481909d3b41a56b29dee9 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b5a0c0c81909aa3339d7ba62a0d completed March 2, 2026, 11:58 a.m.
Created at: March 1, 2026, 7:36 p.m.