Triple
T25617540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beefeater |
E642198
|
entity |
| Predicate | restaurantStyle |
P9631
|
FINISHED |
| Object | pub-style restaurant |
—
|
LITERAL 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: pub-style restaurant | Statement: [Beefeater, restaurantStyle, pub-style restaurant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restaurantStyle Context triple: [Beefeater, restaurantStyle, pub-style restaurant]
-
A.
diningStyle
chosen
Indicates the manner or format in which dining is conducted, such as casual, formal, buffet, or family-style.
-
B.
restaurantContained
Indicates that a restaurant is physically located within or is a part of a larger place or establishment.
-
C.
restaurantName
Indicates the name assigned to a restaurant as its identifying label.
-
D.
restaurantDesignedBy
Indicates that a restaurant was created or planned by a particular designer or architect.
-
E.
foodPreparationStyle
Indicates the manner or method by which food is prepared, cooked, or processed.
- F. None of above.
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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5f9e8734c8190a214685b1647abe1 |
completed | May 2, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:01 p.m.