Triple

T13739304
Position Surface form Disambiguated ID Type / Status
Subject Wishing Star Lake E330037 entity
Predicate adjacentTo P224 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: [Wishing Star Lake, adjacentTo, Disneytown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disneytown
Context triple: [Wishing Star Lake, adjacentTo, 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6bce9881909209231f6dfcf9bf completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.