Triple
T30066661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starwood Hotels & Resorts |
E764049
|
entity |
| Predicate | notableBrandCategory |
P39625
|
FINISHED |
| Object | upscale hotels |
—
|
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: upscale hotels | Statement: [Starwood Hotels & Resorts, notableBrandCategory, upscale hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBrandCategory Context triple: [Starwood Hotels & Resorts, notableBrandCategory, upscale hotels]
-
A.
notableBrandElement
Indicates that one entity is a significant or distinguishing brand-related feature, component, or asset of another entity.
-
B.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
C.
popularBrand
Indicates that a brand is widely liked, recognized, or frequently chosen by many people.
-
D.
associatedBrandCategory
chosen
Indicates that a brand is linked to or classified under a particular product or service category.
-
E.
catalogBrand
Indicates that a brand is associated with, or offered within, a particular catalog.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:59 p.m.