Triple
T38047373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 Canadian federal election |
E949652
|
entity |
| Predicate | fourthPartySeatCount |
P110898
|
FINISHED |
| Object | 51 |
—
|
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: 51 | Statement: [2006 Canadian federal election, fourthPartySeatCount, 51]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthPartySeatCount Context triple: [2006 Canadian federal election, fourthPartySeatCount, 51]
-
A.
fourthLargestPartySeatsWon
chosen
Indicates the number of seats won by the political party that ranked fourth in size (by seats) in a given election or legislature.
-
B.
fourthLargestParty
Indicates that the subject is the political party that ranks fourth in size or representation within a specified political system or election context.
-
C.
thirdLargestPartySeats
Indicates the number of seats held by the third-largest political party in a given legislative body or election outcome.
-
D.
parliamentarySeatCount
Indicates the number of seats a party, group, or entity holds in a parliamentary body.
-
E.
otherPartiesSeatsWon
Indicates the number of seats won by all parties other than the primary or main party in an election or representative body.
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:20 p.m.