Triple
T6955263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Drunken Clam |
E161224
|
entity |
| Predicate | hasWaitstaff |
P55337
|
FINISHED |
| Object | bartenders |
—
|
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: bartenders | Statement: [The Drunken Clam, hasWaitstaff, bartenders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaitstaff Context triple: [The Drunken Clam, hasWaitstaff, bartenders]
-
A.
crewServed
Indicates that the operation or use of something requires a coordinated effort by multiple people acting together as a crew.
-
B.
hasBarService
chosen
Indicates that one entity provides or features bar service for another entity or at a given location.
-
C.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
-
D.
servesVenue
Indicates that an entity provides services or functions in support of a particular venue.
-
E.
hasCharacterDining
Indicates that an entity offers or includes dining experiences where guests can eat while interacting with costumed characters.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dace1a94819095311e4288f01784 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.