Triple

T3856169
Position Surface form Disambiguated ID Type / Status
Subject Surf's Up! E90019 entity
Predicate nearbyResortSection P52374 FINISHED
Object Hoops Hotel E91612 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: Hoops Hotel | Statement: [Surf's Up!, nearbyResortSection, Hoops Hotel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoops Hotel
Context triple: [Surf's Up!, nearbyResortSection, Hoops Hotel]
  • A. Hoops Hotel chosen
    Hoops Hotel is a basketball-themed accommodation area within Disney's All-Star Sports Resort at Walt Disney World.
  • B. Drake Hotel
    The Drake Hotel is a historic luxury hotel in Chicago renowned for its grand architecture, upscale accommodations, and prominent location along the Magnificent Mile.
  • C. Home Run Hotel
    Home Run Hotel is a baseball-themed accommodation area within Disney's All-Star Sports Resort at Walt Disney World.
  • D. Waldo Hotel
    The Waldo Hotel is a historic landmark hotel building in downtown Clarksburg, West Virginia, known for its early 20th-century architecture and past prominence as a social and commercial hub.
  • E. Flamingo Hotel
    Flamingo Hotel is a historic Las Vegas resort and casino famously linked to mobster Benjamin "Bugsy" Siegel and often regarded as one of the Strip’s earliest and most iconic properties.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef90e5f408190abf8353e153d1558 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041f40f88190883339db0950026a completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.