Triple
T9734078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skipper Canteen |
E236013
|
entity |
| Predicate | menuIncludes |
P68068
|
FINISHED |
| Object | seafood dishes |
—
|
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: seafood dishes | Statement: [Skipper Canteen, menuIncludes, seafood dishes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menuIncludes Context triple: [Skipper Canteen, menuIncludes, seafood dishes]
-
A.
menuCategory
Indicates the classification relationship that assigns an item to a specific section or category within a menu.
-
B.
cateringIncludes
Indicates that a catering service or arrangement encompasses or provides the specified item, service, or component as part of its offering.
-
C.
orderIncludes
Indicates that a particular order contains or comprises the specified item(s) or component(s).
-
D.
hasFoodOption
chosen
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
E.
hasMenuItem
Indicates that one entity (typically a menu or menu section) includes or offers another entity as one of its menu items.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eebcec08190a9d4606fd26f2e19 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.