Triple
T28985247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish general elections |
E734661
|
entity |
| Predicate | adjustmentSeats |
P166089
|
FINISHED |
| Object | 39 |
—
|
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: 39 | Statement: [Swedish general elections, adjustmentSeats, 39]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjustmentSeats Context triple: [Swedish general elections, adjustmentSeats, 39]
-
A.
seatRecline
Indicates that one entity adjusts or is capable of adjusting the backward tilt or reclining position of a seat relative to another entity or context.
-
B.
movedSeatTo
Indicates that one entity changed another entity’s seating position from one place to another.
-
C.
ANCSeats
Indicates the number of seats held or allocated to the ANC (African National Congress) in a representative body such as a parliament or council.
-
D.
DASeats
Indicates that an entity assigns or provides seating arrangements for another entity or group.
-
E.
seatFeature
Indicates that a seat possesses or is equipped with a particular feature or characteristic.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f78c4d08190b68ee2b2fed19fff |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 9:13 a.m.