Triple
T7001051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish legislative election of 1989 |
E162336
|
entity |
| Predicate | senateSeatsFreelyContested |
P11588
|
FINISHED |
| Object | 100% |
—
|
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: 100% | Statement: [Polish legislative election of 1989, senateSeatsFreelyContested, 100%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateSeatsFreelyContested Context triple: [Polish legislative election of 1989, senateSeatsFreelyContested, 100%]
-
A.
numberOfSeatsContested
chosen
Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
-
B.
hasOfficeContested
Indicates that an individual has been a candidate for a particular public office in an election.
-
C.
contestsSeatsIn
Indicates that an individual or party is competing for elected positions within a specified electoral district or governing body.
-
D.
numberOfAtLargeSeats
Indicates the total count of at-large seats (positions not tied to specific districts or subunits) associated with an entity.
-
E.
numberOfIndependentSenators
Indicates the count of senators who are not formally affiliated with any political party.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.