Triple
T23523312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motto by Hilton |
E574564
|
entity |
| Predicate | categoryWithinHilton |
P95966
|
FINISHED |
| Object | lifestyle category |
—
|
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: lifestyle category | Statement: [Motto by Hilton, categoryWithinHilton, lifestyle category]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryWithinHilton Context triple: [Motto by Hilton, categoryWithinHilton, lifestyle category]
-
A.
hotelCategory
Indicates the classification or rating level assigned to a hotel (e.g., star rating or category tier).
-
B.
locatedInHotelCategory
chosen
Indicates that one entity is situated within, or belongs to, a specific category or classification of hotels.
-
C.
hotelClass
Indicates the classification or rating level assigned to a hotel, such as its star category or quality tier.
-
D.
hasHotelType
Indicates that a hotel is classified as belonging to a specific type or category (e.g., resort, boutique, hostel).
-
E.
hotelBrand
Indicates that a hotel is affiliated with, operated by, or marketed under a specific hotel brand.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac71ec8881909bfb706efdc2518f |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.