Triple
T11918909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Street Townhouse hotel |
E283601
|
entity |
| Predicate | roomCategory |
P4152
|
FINISHED |
| Object | luxury |
—
|
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 | Statement: [King Street Townhouse hotel, roomCategory, luxury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roomCategory Context triple: [King Street Townhouse hotel, roomCategory, luxury]
-
A.
hotelCategory
Indicates the classification or rating level assigned to a hotel (e.g., star rating or category tier).
-
B.
chamberType
chosen
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
C.
reservationCategory
Indicates the classification or type assigned to a reservation (such as its purpose, priority, or usage group) within a system.
-
D.
roomSettingOfPart
Indicates that a room or environmental setting is the contextual location or configuration associated with a specific part or component.
-
E.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8dff77481908cacf6ad03df34ac |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.