Triple
T34199828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Merito Decoration |
E877345
|
entity |
| Predicate | militaryDecorationOf |
P52023
|
FINISHED |
| Object | Republic of South Africa |
—
|
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: Republic of South Africa | Statement: [Pro Merito Decoration, militaryDecorationOf, Republic of South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryDecorationOf Context triple: [Pro Merito Decoration, militaryDecorationOf, Republic of South Africa]
-
A.
isMilitaryDecorationOf
chosen
Indicates that something is a military award or honor that has been conferred upon a particular person, unit, or entity.
-
B.
isNonMilitaryDecoration
Indicates that an honor or award is a decoration that is not associated with military service or military institutions.
-
C.
militaryDecorations
Indicates that an entity has been awarded specific military decorations or honors.
-
D.
civilianDecorations
Indicates that an entity has received civilian honors or awards in recognition of non-military service or achievements.
-
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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 1:55 a.m.