Triple
T14916163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedestal Collection |
E371387
|
entity |
| Predicate | hasBackrestOption |
P86635
|
FINISHED |
| Object | armchair version |
—
|
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: armchair version | Statement: [Pedestal Collection, hasBackrestOption, armchair version]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackrestOption Context triple: [Pedestal Collection, hasBackrestOption, armchair version]
-
A.
hasBackrestType
Indicates the specific kind or style of backrest that an object (typically a seat or chair) possesses.
-
B.
hasBackrest
chosen
Indicates that one entity (typically a seat or seating object) includes or is equipped with a supporting backrest.
-
C.
hasArmrestType
Indicates the specific style or configuration of armrests associated with an item.
-
D.
hasRetractableSeating
Indicates that an entity is equipped with seating that can be folded away, collapsed, or otherwise retracted when not in use.
-
E.
hasSeatMaterial
Indicates that an entity’s seat is made of, or covered with, a specified material.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:31 a.m.