Triple
T13204667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Restaurant |
E314327
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Azure Restaurant |
E314327
|
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: Azure Restaurant | Statement: [Azure Restaurant, name, Azure Restaurant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azure Restaurant Context triple: [Azure Restaurant, name, Azure Restaurant]
-
A.
Azure Restaurant
chosen
Azure Restaurant is an upscale oceanfront dining venue at Waikiki’s historic Royal Hawaiian Hotel, known for its fresh seafood and refined Hawaiian-inspired cuisine.
-
B.
360 Restaurant
360 Restaurant is a revolving fine-dining restaurant located atop Toronto’s CN Tower, offering panoramic city and lake views.
-
C.
Aurora Restaurant
Aurora Restaurant is an upscale dining venue located within the Shanghai Disneyland Hotel, known for its elegant atmosphere and views over the resort.
-
D.
Encounter Restaurant
Encounter Restaurant was a futuristic-themed dining venue located inside Los Angeles International Airport’s iconic Theme Building, known for its space-age design and panoramic views.
-
E.
Space 220 Restaurant
Space 220 Restaurant is a space-themed dining venue at EPCOT in Walt Disney World that simulates eating aboard a space station high above Earth.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9b0cf08190a1d71cc94139539d |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f60eee288190bdb3ed6110394e48 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.