Triple
T6045702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankyu Hanshin Hotels Co., Ltd. |
E134660
|
entity |
| Predicate | hotelCategoryOperated |
P16418
|
FINISHED |
| Object | urban 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: urban hotels | Statement: [Hankyu Hanshin Hotels Co., Ltd., hotelCategoryOperated, urban hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hotelCategoryOperated Context triple: [Hankyu Hanshin Hotels Co., Ltd., hotelCategoryOperated, urban hotels]
-
A.
hotelOperator
Indicates that an entity operates, manages, or runs a hotel as its responsible service provider or business owner.
-
B.
hotelCategory
chosen
Indicates the classification or rating level assigned to a hotel (e.g., star rating or category tier).
-
C.
venueTypeOperated
Indicates that an entity operates or manages a venue of a specified type.
-
D.
hotelBrand
Indicates that a hotel is affiliated with, operated by, or marketed under a specific hotel brand.
-
E.
hasHotelType
Indicates that a hotel is classified as belonging to a specific type or category (e.g., resort, boutique, hostel).
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.