Triple
T36570760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onitsuka Tiger Serrano |
E902114
|
entity |
| Predicate | cushioning |
P127453
|
FINISHED |
| Object | EVA midsole |
—
|
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: EVA midsole | Statement: [Onitsuka Tiger Serrano, cushioning, EVA midsole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cushioning Context triple: [Onitsuka Tiger Serrano, cushioning, EVA midsole]
-
A.
cushionSupport
Indicates that one entity provides a soft, stabilizing, or protective support to another, often by absorbing impact or pressure.
-
B.
hasCushionType
Indicates that an entity is associated with or equipped with a specific type of cushion.
-
C.
midsoleMaterial
chosen
Indicates the material from which the midsole of an item (typically footwear) is made.
-
D.
designedForComfort
Indicates that something has been intentionally created or configured to enhance physical or psychological ease and reduce discomfort.
-
E.
backSupport
Indicates that one entity provides physical or structural support to the back of 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.