Triple
T4824142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airborne Forces of the Russian Federation |
E107780
|
entity |
| Predicate | distinctiveUniformItem |
P18730
|
FINISHED |
| Object | telnyashka striped shirt |
—
|
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: telnyashka striped shirt | Statement: [Airborne Forces of the Russian Federation, distinctiveUniformItem, telnyashka striped shirt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctiveUniformItem Context triple: [Airborne Forces of the Russian Federation, distinctiveUniformItem, telnyashka striped shirt]
-
A.
modernUniformDesigner
Indicates that an entity is the designer responsible for creating or developing a modern-style uniform for another entity.
-
B.
wearsUniformSimilarTo
Indicates that one entity wears a uniform that is similar in appearance or style to the uniform worn by another entity.
-
C.
wearsOnUniform
chosen
Indicates that an item is part of and is worn as a component of a uniform.
-
D.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
E.
rankInsigniaWornOn
Indicates the physical location on a uniform or body where a rank insignia is displayed or attached.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.