Triple
T3603871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulip chair |
E76322
|
entity |
| Predicate | hasCushionAttachment |
P34295
|
FINISHED |
| Object | removable seat cushion |
—
|
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: removable seat cushion | Statement: [Tulip chair, hasCushionAttachment, removable seat cushion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCushionAttachment Context triple: [Tulip chair, hasCushionAttachment, removable seat cushion]
-
A.
hasMountingFeature
chosen
Indicates that one entity includes or provides a structural feature intended for mounting or attaching another entity.
-
B.
hasArmrestType
Indicates the specific style or configuration of armrests associated with an item.
-
C.
hasBackrestType
Indicates the specific kind or style of backrest that an object (typically a seat or chair) possesses.
-
D.
hasRim
Indicates that one entity possesses or is equipped with a rim as a defining part or feature.
-
E.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1e07bc481908d9fce18d36d8e0d |
completed | March 8, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.