Triple
T12192083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adidas Krasava |
E290486
|
entity |
| Predicate | pressureRetention |
P91116
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Adidas Krasava, pressureRetention, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pressureRetention Context triple: [Adidas Krasava, pressureRetention, high]
-
A.
pressureCapability
Indicates the maximum pressure an entity can safely exert, withstand, or operate under within a given context.
-
B.
pressureType
Indicates the specific category or kind of pressure associated with an entity or interaction.
-
C.
airRetention
chosen
Indicates that an entity maintains or preserves air within a space or structure without significant loss.
-
D.
pressurization
Indicates the process of applying or maintaining pressure on or within an object, system, or environment.
-
E.
pressureRange
Indicates the range of pressure values within which a condition, process, or relationship is defined or valid.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.