Triple
T29621185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1925 Australian federal election |
E754998
|
entity |
| Predicate | numberOfChambersContested |
P11588
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1925 Australian federal election, numberOfChambersContested, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfChambersContested Context triple: [1925 Australian federal election, numberOfChambersContested, 2]
-
A.
numberOfSeatsContested
chosen
Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
-
B.
portionOfSenateContested
Indicates the fraction of seats in a senate that are up for election or otherwise being contested during a given electoral cycle.
-
C.
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.
-
D.
areContestedIn
Indicates that something is the subject of dispute, challenge, or competition within a particular context, event, or process.
-
E.
qualificationPlacesContested
Indicates the number of positions or spots that are being competed for in a qualification process.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a000efe971081909de03f875a7ad6cc |
completed | May 10, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a000c4ffe788190a5757af60aadd9f3 |
completed | May 10, 2026, 4:40 a.m. |
Created at: April 28, 2026, 6:34 p.m.