Triple
T15324767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd House of Representatives (from 2022) |
E366380
|
entity |
| Predicate | hasMixedElectoralSystem |
P39085
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2nd House of Representatives (from 2022), hasMixedElectoralSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMixedElectoralSystem Context triple: [2nd House of Representatives (from 2022), hasMixedElectoralSystem, true]
-
A.
hasParallelElectorates
Indicates that two electoral systems or jurisdictions share corresponding or equivalent electorates that function in parallel.
-
B.
hasMultiPartySystemSince
Indicates that an entity has operated under a multi-party political system starting from a specified point in time.
-
C.
hasElectoralRule
chosen
Indicates that a political system, jurisdiction, or electoral body is governed or characterized by a specific electoral rule or voting system.
-
D.
electoralNature
Indicates that something has the character, features, or conditions related to elections or the electoral process.
-
E.
electoralSystemConcerned
Indicates that something is related to, affected by, or focused on a particular electoral system.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dfd8f048190831b463a2728eafe |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.