Triple
T2157413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SW Steakhouse |
E47921
|
entity |
| Predicate | typeOfFoodEstablishment |
P5786
|
FINISHED |
| Object | steak 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: steak restaurant | Statement: [SW Steakhouse, typeOfFoodEstablishment, steak restaurant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFoodEstablishment Context triple: [SW Steakhouse, typeOfFoodEstablishment, steak restaurant]
-
A.
isDiningDestination
Indicates that a place serves as a destination where people go specifically to eat meals or dine.
-
B.
restaurantName
Indicates the name assigned to a restaurant as its identifying label.
-
C.
hasRestaurant
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
D.
cuisineType
chosen
Indicates the type or style of food associated with an entity, such as a restaurant or dish.
-
E.
diningStyle
Indicates the manner or format in which dining is conducted, such as casual, formal, buffet, or family-style.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe68fe0c8190beb5db003738a6e5 |
completed | March 7, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.