Triple
T29184806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo Grand Hotel |
E739836
|
entity |
| Predicate | cateringFocus |
P166409
|
FINISHED |
| Object | luxury segment |
—
|
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: luxury segment | Statement: [Sapporo Grand Hotel, cateringFocus, luxury segment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cateringFocus Context triple: [Sapporo Grand Hotel, cateringFocus, luxury segment]
-
A.
cateringIncludes
Indicates that a catering service or arrangement encompasses or provides the specified item, service, or component as part of its offering.
-
B.
hasCateringServices
Indicates that an entity provides or offers catering services, such as preparing and supplying food and beverages for events or clients.
-
C.
celebrationFocus
Indicates that the primary subject or emphasis of a celebration is directed toward a particular entity or theme.
-
D.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
E.
servingOccasion
Indicates the occasion, event, or context during which something (typically food or drink) is served.
- F. None of above. chosen
Provenance (4 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66385d3a081908460881857d43322 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 11:59 a.m.