Triple
T16244362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovak parliamentary election 2012 |
E394331
|
entity |
| Predicate | largestPartySeatCount |
P122316
|
FINISHED |
| Object | 83 |
—
|
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: 83 | Statement: [Slovak parliamentary election 2012, largestPartySeatCount, 83]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestPartySeatCount Context triple: [Slovak parliamentary election 2012, largestPartySeatCount, 83]
-
A.
largestParty
Indicates that the subject is the political party with the greatest size (e.g., by membership, seats, or votes) within a specified context or group.
-
B.
secondLargestPartySeatsWon
Indicates the number of seats won by the political party that finished second in size or vote share in an election.
-
C.
thirdLargestPartySeats
Indicates the number of seats held by the third-largest political party in a given legislative body or election outcome.
-
D.
fourthLargestPartySeatsWon
Indicates the number of seats won by the political party that ranked fourth in size (by seats) in a given election or legislature.
-
E.
numberOfSeatsWon
Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24560c6848190ae0e85ecb11a9264 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.