Triple
T25927663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estonian honours system |
E653348
|
entity |
| Predicate | militaryDecorations |
P163703
|
FINISHED |
| Object | Order of the Estonian Defence Forces |
—
|
NE NERFINISHED |
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: Order of the Estonian Defence Forces | Statement: [Estonian honours system, militaryDecorations, Order of the Estonian Defence Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryDecorations Context triple: [Estonian honours system, militaryDecorations, Order of the Estonian Defence Forces]
-
A.
militaryDecorations
chosen
Indicates that an entity has been awarded specific military decorations or honors.
-
B.
isMilitaryDecorationOf
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
-
C.
civilianDecorations
Indicates that an entity has received civilian honors or awards in recognition of non-military service or achievements.
-
D.
highestMilitaryDecoration
Indicates that the object is the most prestigious military award or honor that has been conferred upon the subject.
-
E.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 22, 2026, 8:36 a.m.