Triple
T30963335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1917 Canadian federal election |
E788885
|
entity |
| Predicate | UnionistSeatsWon |
P170849
|
FINISHED |
| Object | 153 |
—
|
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: 153 | Statement: [1917 Canadian federal election, UnionistSeatsWon, 153]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UnionistSeatsWon Context triple: [1917 Canadian federal election, UnionistSeatsWon, 153]
-
A.
seatsWonByNational Union
Indicates the number of legislative or electoral seats that were won by the National Union in a given election or contest.
-
B.
ConservativeSeatsWon
Indicates the number of parliamentary or legislative seats won by the Conservative party in an election.
-
C.
LabourSeatsWon
Indicates the number of parliamentary seats won by the Labour Party in an election.
-
D.
hasUnionistParty
Indicates that an entity is associated with, represented by, or supports a political party advocating for the maintenance of a political union.
-
E.
IrishParliamentaryPartySeatsWon
Indicates the number of seats won by the Irish Parliamentary Party in a given election or legislative body.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:54 p.m.