Triple
T18632695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egg chair |
E455461
|
entity |
| Predicate | typicalUpholstery |
P58896
|
FINISHED |
| Object | fabric |
—
|
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: fabric | Statement: [Egg chair, typicalUpholstery, fabric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUpholstery Context triple: [Egg chair, typicalUpholstery, fabric]
-
A.
upholsteryOption
Indicates the type or choice of upholstery applied to an item, such as a piece of furniture or vehicle interior.
-
B.
typicalFabric
chosen
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
-
C.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
D.
typicalFinish
Indicates that an action, process, or event commonly or characteristically ends with a particular outcome or state.
-
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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc5c7ec8190ab0c64f009583f96 |
completed | April 19, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.