Triple
T18070790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Czech legislative election |
E432421
|
entity |
| Predicate | affectedLegislature |
P27346
|
FINISHED |
| Object | 6th term of the Chamber of Deputies |
—
|
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: 6th term of the Chamber of Deputies | Statement: [2010 Czech legislative election, affectedLegislature, 6th term of the Chamber of Deputies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedLegislature Context triple: [2010 Czech legislative election, affectedLegislature, 6th term of the Chamber of Deputies]
-
A.
legislatureAffected
chosen
Indicates that an action, event, or measure has an impact on a legislative body or its functioning.
-
B.
relatedLegislation
Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
-
C.
passedLegislation
Indicates that a governing body has formally approved and enacted a specific piece of legislation or law.
-
D.
areaOfLegislation
Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
-
E.
signedLegislation
Indicates that an authority formally approved and enacted a piece of legislation into law by signing it.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ccee2fa4819098a61f7fdb8f1853 |
completed | April 19, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:26 a.m.