Triple
T10614028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Perrottet ministry |
E276073
|
entity |
| Predicate | cabinetNumberInNSWHistory |
P17175
|
FINISHED |
| Object | 99 |
—
|
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: 99 | Statement: [Third Perrottet ministry, cabinetNumberInNSWHistory, 99]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cabinetNumberInNSWHistory Context triple: [Third Perrottet ministry, cabinetNumberInNSWHistory, 99]
-
A.
cabinetNumberInHistory
chosen
Indicates the specific cabinet number assigned to an entity within a historical record or context.
-
B.
cabinetNumberInNetherlands
Indicates the specific numbered term or sequence position of a government cabinet within the Netherlands.
-
C.
hasCabinetName
Indicates that an entity is associated with a specific cabinet by its name.
-
D.
cabinetOf
Indicates that one entity serves as the cabinet or governing body associated with another entity, typically a state, government, or leader.
-
E.
hasCabinet
Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5ca94c8190aa3771925913defc |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.