Triple
T8732264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cesca Chair |
E207284
|
entity |
| Predicate | hasBackType |
P14113
|
FINISHED |
| Object | low backrest |
—
|
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: low backrest | Statement: [Cesca Chair, hasBackType, low backrest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackType Context triple: [Cesca Chair, hasBackType, low backrest]
-
A.
hasBackrestType
chosen
Indicates the specific kind or style of backrest that an object (typically a seat or chair) possesses.
-
B.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
-
C.
hasBside
Indicates that one item serves as the B-side counterpart or secondary track associated with another primary item, typically in a recording or media release.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasBoardType
Indicates that an entity is associated with or uses a specific type or category of board.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2903b08190a5ef29b6d6ca5f1c |
completed | March 31, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69cc457093188190959287a6458651c6 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:37 p.m.