Triple
T6559182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Senate |
E152531
|
entity |
| Predicate | halfSenateElectionIntervalYears |
P1678
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Australian Senate, halfSenateElectionIntervalYears, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: halfSenateElectionIntervalYears Context triple: [Australian Senate, halfSenateElectionIntervalYears, 3]
-
A.
legislativePeriodicity
chosen
Indicates how frequently a legislative body or process recurs or is scheduled to occur over time.
-
B.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
-
C.
electoralTermOfUpperHouse
Indicates the duration or length of time that members serve in the upper house of a legislature before their terms expire.
-
D.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
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.