Triple
T6544594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Joule Hotel |
E168371
|
entity |
| Predicate | interior |
P5509
|
FINISHED |
| Object | art-filled interiors |
—
|
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: art-filled interiors | Statement: [The Joule Hotel, interior, art-filled interiors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interior Context triple: [The Joule Hotel, interior, art-filled interiors]
-
A.
interiorStyle
chosen
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
B.
interiorFloor
Indicates that one entity is the interior floor surface or flooring of another enclosing space or structure.
-
C.
furniture
Indicates that one entity is a piece of furniture associated with, located in, or used by another entity.
-
D.
interiorSize
Indicates the size or dimensions of the inside space of an object or structure.
-
E.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.