Triple
T23003477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyu Hotels |
E572695
|
entity |
| Predicate | operatesHotelType |
P43750
|
FINISHED |
| Object | city hotel |
—
|
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: city hotel | Statement: [Tokyu Hotels, operatesHotelType, city hotel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesHotelType Context triple: [Tokyu Hotels, operatesHotelType, city hotel]
-
A.
hasHotelType
Indicates that a hotel is classified as belonging to a specific type or category (e.g., resort, boutique, hostel).
-
B.
hotelOperator
Indicates that an entity operates, manages, or runs a hotel as its responsible service provider or business owner.
-
C.
hotelCategory
Indicates the classification or rating level assigned to a hotel (e.g., star rating or category tier).
-
D.
operatesLodgesIn
Indicates that an entity manages or runs lodging facilities located within a specified place or jurisdiction.
-
E.
venueTypeOperated
chosen
Indicates that an entity operates or manages a venue of a specified type.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183549bdc81908fdcd44e2c92f7c4 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:50 p.m.