Triple
T34891042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander of the Order of Meritorious Service |
E1006284
|
entity |
| Predicate | levelInOrder |
P181837
|
FINISHED |
| Object | senior grade |
—
|
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: senior grade | Statement: [Commander of the Order of Meritorious Service, levelInOrder, senior grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelInOrder Context triple: [Commander of the Order of Meritorious Service, levelInOrder, senior grade]
-
A.
levelInOrderOfAustralia
Indicates the relative hierarchical position or rank of something within an ordered structure specific to Australia.
-
B.
meetsAtLevel
Indicates that two or more entities encounter or interact with each other at a specific hierarchical, structural, or progression level.
-
C.
levelStructure
Indicates that one entity defines or organizes the hierarchical or layered arrangement of another entity.
-
D.
levelOnPyramid
Indicates the relative vertical tier or layer that an entity occupies within a pyramid structure.
-
E.
hasLevelNumber
Indicates that an entity is associated with a specific level identified by a numerical value.
- F. None of above. chosen
Provenance (4 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.