Triple
T31438575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Turkish general election |
E802005
|
entity |
| Predicate | winningPartySeatsChange |
P73160
|
FINISHED |
| Object | -22 |
—
|
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: -22 | Statement: [2007 Turkish general election, winningPartySeatsChange, -22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningPartySeatsChange Context triple: [2007 Turkish general election, winningPartySeatsChange, -22]
-
A.
winningPartySeatChange
chosen
Indicates the change in the number of seats held by the winning party compared to a previous election or reference point.
-
B.
oppositionPartySeatsWon
Indicates the number of legislative seats secured by the opposition party in an election or governing body.
-
C.
numberOfPartiesWinningSeats
Indicates the total count of distinct parties that have secured at least one seat in an election or representative body.
-
D.
numberOfSeatsWon
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
-
E.
LabourSeatsWon
Indicates the number of parliamentary seats won by the Labour Party in an election.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:03 p.m.