Triple
T15130095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dockside Diner |
E361394
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dockside Diner |
E1057998
|
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: Dockside Diner | Statement: [Dockside Diner, name, Dockside Diner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dockside Diner Context triple: [Dockside Diner, name, Dockside Diner]
-
A.
Dockside Diner
Dockside Diner is a casual, retro-themed quick-service restaurant located on the shores of Echo Lake in Disney’s Hollywood Studios.
-
B.
Dockside Diner
chosen
Dockside Diner is a quick-service restaurant in Tokyo DisneySea’s American Waterfront area, themed to an early 20th-century harbor eatery serving casual American-style fare.
-
C.
Henry’s Diner
Henry’s Diner is a campus dining spot on Rutgers University’s Livingston Campus known for serving classic American comfort food in a casual, diner-style setting.
-
D.
Annette's Diner
Annette's Diner is a 1950s-style American-themed restaurant located in Disney Village at Disneyland Paris, known for its retro decor and classic diner fare.
-
E.
Mel’s Diner
Mel’s Diner is a retro-themed American restaurant styled after a classic 1950s diner, known for serving burgers, fries, and milkshakes in a nostalgic setting.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fa449c8190aed8941168b063c3 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.