Triple
T17995424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 Polish parliamentary election |
E430487
|
entity |
| Predicate | usedConstituencyType |
P15309
|
FINISHED |
| Object | multi-member constituencies |
—
|
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: multi-member constituencies | Statement: [2005 Polish parliamentary election, usedConstituencyType, multi-member constituencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedConstituencyType Context triple: [2005 Polish parliamentary election, usedConstituencyType, multi-member constituencies]
-
A.
constituencyType
chosen
Indicates the specific kind or category of electoral or representative district to which an entity belongs or refers.
-
B.
containsConstituency
Indicates that one entity includes or encompasses another entity as part of its constituency or membership.
-
C.
coreConstituency
Indicates that one entity serves as the primary, most important group of supporters or audience for another entity.
-
D.
targetConstituency
Indicates that something is directed toward, intended for, or affects a particular constituency or group of stakeholders.
-
E.
constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e3b060819086855bc01aceb42a |
completed | April 19, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.