Triple
T815075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Rogers Roasters |
E17634
|
entity |
| Predicate | serviceStyle |
P5621
|
FINISHED |
| Object | table service |
—
|
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: table service | Statement: [Kenny Rogers Roasters, serviceStyle, table service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceStyle Context triple: [Kenny Rogers Roasters, serviceStyle, table service]
-
A.
serviceIn
Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
-
B.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
C.
serviceUniform
Indicates that one entity is wearing or associated with a standardized uniform used for official or professional service.
-
D.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
-
E.
serviceClass
chosen
Indicates the classification or category of service associated with or provided by an entity in the relationship.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5035608190bff5f3843b75e662 |
completed | March 1, 2026, 9:10 p.m. |
| PD | Predicate disambiguation | batch_69a4aa756920819080ae82948974c876 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.