Triple
T17104603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcelona Chair |
E415064
|
entity |
| Predicate | cushionSupport |
P125939
|
FINISHED |
| Object | leather straps |
—
|
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: leather straps | Statement: [Barcelona Chair, cushionSupport, leather straps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cushionSupport Context triple: [Barcelona Chair, cushionSupport, leather straps]
-
A.
hasCushionType
Indicates that an entity is associated with or equipped with a specific type of cushion.
-
B.
backSupport
Indicates that one entity provides physical or structural support to the back of another entity.
-
C.
chairIn
Indicates that one entity is a chair located within the spatial bounds or interior of another entity.
-
D.
chairType
Indicates the specific kind or category of chair that an entity is classified as.
-
E.
coChairWith
Indicates that two or more entities share the role of chairing the same group, event, or organization jointly.
- F. None of above. chosen
Provenance (4 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2591a881909c5f4f7db47f4d6c |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.