Triple

T3771228
Position Surface form Disambiguated ID Type / Status
Subject Lime Garage E83201 entity
Predicate partOf P40 FINISHED
Object Disney Springs parking complex E11634 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: Disney Springs parking complex | Statement: [Lime Garage, partOf, Disney Springs parking complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disney Springs parking complex
Context triple: [Lime Garage, partOf, Disney Springs parking complex]
  • A. Disney Springs chosen
    Disney Springs is an outdoor shopping, dining, and entertainment complex at the Walt Disney World Resort in Florida.
  • B. ICON Park Orlando
    ICON Park Orlando is an entertainment complex and observation wheel attraction on Orlando’s International Drive, featuring dining, shopping, and family-friendly experiences.
  • C. Walt Disney World Resort
    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.
  • 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. 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc307cf8819090730b5e697bb197 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5282a7f0c81908bf7f3d3aa8b0e85 completed March 14, 2026, 9:19 a.m.
Created at: March 8, 2026, 3:36 p.m.