Triple
T8671271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wassily Chair |
E205801
|
entity |
| Predicate | seatSupport |
P42553
|
FINISHED |
| Object | strapped leather |
—
|
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: strapped leather | Statement: [Wassily Chair, seatSupport, strapped leather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatSupport Context triple: [Wassily Chair, seatSupport, strapped leather]
-
A.
seatStructure
chosen
Indicates that one entity serves as the structural or physical seating component or arrangement associated with another entity.
-
B.
seatFeature
Indicates that a seat possesses or is equipped with a particular feature or characteristic.
-
C.
seatRecline
Indicates that one entity adjusts or is capable of adjusting the backward tilt or reclining position of a seat relative to another entity or context.
-
D.
hasBackrestType
Indicates the specific kind or style of backrest that an object (typically a seat or chair) possesses.
-
E.
seatOn
Indicates that one entity is positioned or placed on a seat or seating surface associated with another entity.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4918e3a88190b3c49043211840fd |
completed | March 31, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:31 p.m.