Triple
T28985254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish general elections |
E734661
|
entity |
| Predicate | previousTermLengthBefore1970 |
P193711
|
FINISHED |
| Object | 3 years |
—
|
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: 3 years | Statement: [Swedish general elections, previousTermLengthBefore1970, 3 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTermLengthBefore1970 Context triple: [Swedish general elections, previousTermLengthBefore1970, 3 years]
-
A.
previousTermLengthChangedIn
Indicates that the duration or length of the immediately preceding term has been modified within a specified context or period.
-
B.
regionBefore1996
Indicates that a region existed or was defined prior to the year 1996.
-
C.
historicalLength
Indicates the duration or extent of time over which something has existed, occurred, or been recorded in the past.
-
D.
previousNamePeriod
Indicates the time span during which an entity was known by a former name before changing to its current name.
-
E.
previousMLATermStartYear
Indicates the calendar year in which the immediately preceding MLA term for a given entity began.
- 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_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 28, 2026, 9:13 a.m.