Triple
T13899384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queensland public service |
E334178
|
entity |
| Predicate | employsOccupation |
P44925
|
FINISHED |
| Object | administrative officers |
—
|
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: administrative officers | Statement: [Queensland public service, employsOccupation, administrative officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employsOccupation Context triple: [Queensland public service, employsOccupation, administrative officers]
-
A.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
B.
occupationType
Indicates the specific kind or category of work, profession, or role that an entity performs or holds.
-
C.
employedRole
chosen
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
D.
mainOccupationFrom
Indicates that the specified occupation is the primary or main job held by the given entity.
-
E.
usedByOccupation
Indicates that something (such as a tool, method, or resource) is utilized in the performance of a particular occupation or job.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d8897881908b770cdb565898d4 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.