Triple
T34871710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adidas Europass Gloria |
E1005768
|
entity |
| Predicate | hasAirRetention |
P91116
|
FINISHED |
| Object | butyl bladder |
—
|
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: butyl bladder | Statement: [Adidas Europass Gloria, hasAirRetention, butyl bladder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAirRetention Context triple: [Adidas Europass Gloria, hasAirRetention, butyl bladder]
-
A.
airRetention
chosen
Indicates that an entity maintains or preserves air within a space or structure without significant loss.
-
B.
isAirSensitive
Indicates that the subject undergoes degradation, reaction, or loss of function upon exposure to air.
-
C.
hasAirComponent
Indicates that something includes, contains, or is associated with an air-related component or element.
-
D.
isAirlessBodyFeature
Indicates that a feature is located on or associated with an airless celestial body (one lacking a substantial atmosphere).
-
E.
hasAirCooling
Indicates that an entity is equipped with or utilizes an air-based cooling system.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.