Triple
T28553178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kazandibi |
E722940
|
entity |
| Predicate | textureProfile |
P4016
|
FINISHED |
| Object | soft |
—
|
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: soft | Statement: [kazandibi, textureProfile, soft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureProfile Context triple: [kazandibi, textureProfile, soft]
-
A.
textureFeatures
Indicates that one entity possesses or is characterized by specific surface or material texture properties described by the other entity.
-
B.
textureType
Indicates the specific kind or category of surface quality or feel that characterizes an entity.
-
C.
texture
chosen
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
D.
textureGoal
Indicates a desired or target texture that something should achieve or be adjusted toward.
-
E.
textureCharacteristicInFugue
Indicates that a specified texture characteristic is present or manifested within a particular fugue.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6504d2594819085cc5d1276b388ac |
completed | May 2, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:44 a.m.