Triple
T32440793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the White Eagle (Russian Empire) |
E829008
|
entity |
| Predicate | starWorn |
P125675
|
FINISHED |
| Object | on left breast |
—
|
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: on left breast | Statement: [Order of the White Eagle (Russian Empire), starWorn, on left breast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starWorn Context triple: [Order of the White Eagle (Russian Empire), starWorn, on left breast]
-
A.
wornUntil
Indicates that an item of clothing or wearable object was used or worn continuously up to a specific time or event.
-
B.
typeOfWear
chosen
Indicates the specific manner or style in which something is worn or used as clothing or adornment.
-
C.
star
Indicates that an entity has been given a special or highlighted status, often marking it as important, featured, or favorited in relation to others.
-
D.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
E.
wornFor
Indicates that an item is worn for a particular purpose, function, or occasion.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e2652881909198964213886476 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:55 a.m.