Triple
T6559177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Senate |
E152531
|
entity |
| Predicate | numberOfStateSenatorsPerState |
P4272
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Australian Senate, numberOfStateSenatorsPerState, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStateSenatorsPerState Context triple: [Australian Senate, numberOfStateSenatorsPerState, 12]
-
A.
numberOfSenators
chosen
Indicates the total count of senators associated with a given political body, region, or entity.
-
B.
numberOfGovernmentSenators
Indicates the total count of senators who are members of the government (ruling party or coalition) associated with a given entity or context.
-
C.
numberOfIndependentSenators
Indicates the count of senators who are not formally affiliated with any political party.
-
D.
numberOfSenateDistricts
Indicates the total count of senate districts associated with a given entity or jurisdiction.
-
E.
numberOfSenates
Indicates the total count of senate bodies associated with or present in a given context or entity.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:52 p.m.