Triple
T15010026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phipps Plaza |
E377810
|
entity |
| Predicate | hasTenant |
P3277
|
FINISHED |
| Object | Nobu restaurant |
E355470
|
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: Nobu restaurant | Statement: [Phipps Plaza, hasTenant, Nobu restaurant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nobu restaurant Context triple: [Phipps Plaza, hasTenant, Nobu restaurant]
-
A.
Nobu restaurants
chosen
Nobu restaurants are a globally renowned luxury dining chain known for their innovative Japanese-Peruvian cuisine and stylish, high-end ambiance.
-
B.
Katsura Grill
Katsura Grill is a casual quick-service Japanese restaurant located in the Japan Pavilion at EPCOT in Walt Disney World.
-
C.
Nobu
Nobu is a common Japanese given name and name element that can appear in various masculine and unisex names.
-
D.
California Grill
California Grill is a signature rooftop restaurant at Walt Disney World known for its upscale California-inspired cuisine and panoramic views of the Magic Kingdom and its fireworks.
-
E.
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.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded734943481908dad4ceed4fe850c |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a52bb08190961e3f18d751fe2a |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.