Triple
T35558791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit of Bradford Bar |
E1027576
|
entity |
| Predicate | cateringContext |
P20416
|
FINISHED |
| Object | hotel bar for Midland Hotel guests |
—
|
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: hotel bar for Midland Hotel guests | Statement: [Spirit of Bradford Bar, cateringContext, hotel bar for Midland Hotel guests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cateringContext Context triple: [Spirit of Bradford Bar, cateringContext, hotel bar for Midland Hotel guests]
-
A.
cateringFocus
Indicates that an entity’s primary business or operational emphasis is on providing catering services.
-
B.
cateringIncludes
Indicates that a catering service or arrangement encompasses or provides the specified item, service, or component as part of its offering.
-
C.
hasCateringServices
Indicates that an entity provides or offers catering services, such as preparing and supplying food and beverages for events or clients.
-
D.
hospitalityContext
chosen
Indicates a situational or environmental setting in which hospitality-related interactions, services, or behaviors occur.
-
E.
servesVenue
Indicates that an entity provides services or functions in support of a particular venue.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.