Triple

T7865582
Position Surface form Disambiguated ID Type / Status
Subject Toy Story Hotel E182604 entity
Predicate nearbyAttraction P3449 FINISHED
Object Disneytown E203620 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: Disneytown | Statement: [Toy Story Hotel, nearbyAttraction, Disneytown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disneytown
Context triple: [Toy Story Hotel, nearbyAttraction, Disneytown]
  • A. Disneytown chosen
    Disneytown is an outdoor shopping, dining, and entertainment district adjacent to Shanghai Disneyland, featuring themed restaurants, retail stores, and live performances.
  • B. Disney Village
    Disney Village is the entertainment, dining, and shopping complex adjacent to Disneyland Paris, featuring themed restaurants, shops, and nightlife venues.
  • C. Disney Springs
    Disney Springs is an outdoor shopping, dining, and entertainment complex at the Walt Disney World Resort in Florida.
  • D. 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.
  • E. Downtown Disney
    Downtown Disney is an outdoor shopping, dining, and entertainment district located adjacent to the Disneyland Resort in Anaheim, California.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3844eacc81908f8e1e5fc4dafec8 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf6fb33881908cf7bd68915aa6b4 completed March 31, 2026, 2:51 p.m.
Created at: March 30, 2026, 4:54 p.m.