Triple
T28441118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1914 Australian federal election |
E715711
|
entity |
| Predicate | portionOfSenateContested |
P164727
|
FINISHED |
| Object | half the Senate |
—
|
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: half the Senate | Statement: [1914 Australian federal election, portionOfSenateContested, half the Senate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portionOfSenateContested Context triple: [1914 Australian federal election, portionOfSenateContested, half the Senate]
-
A.
numberOfSeatsContested
Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
-
B.
numberOfRepublicanContests
Indicates the total count of contests or events associated with the Republican Party in which an entity participated or that are attributed to it.
-
C.
areContestedIn
Indicates that something is the subject of dispute, challenge, or competition within a particular context, event, or process.
-
D.
hasOfficeContested
Indicates that an individual has been a candidate for a particular public office in an election.
-
E.
numberOfDemocraticContests
Indicates the total count of contests or events in which the Democratic Party (or democratic candidates) participated or were involved.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:46 a.m.