Triple
T30322644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancashire constituencies |
E771244
|
entity |
| Predicate | followsElectoralSystem |
P39085
|
FINISHED |
| Object | first-past-the-post voting |
—
|
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: first-past-the-post voting | Statement: [Lancashire constituencies, followsElectoralSystem, first-past-the-post voting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsElectoralSystem Context triple: [Lancashire constituencies, followsElectoralSystem, first-past-the-post voting]
-
A.
electoralSystemConcerned
Indicates that something is related to, affected by, or focused on a particular electoral system.
-
B.
electoralSystemContext
Indicates the electoral system or framework within which a political or electoral event, action, or relationship takes place.
-
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.
electoralSystemForLegislature
Indicates the type of electoral system used to choose members of a particular legislature.
-
E.
countryElectoralSystem
Indicates the type of electoral system used by a country to conduct its elections.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 29, 2026, 7:52 p.m.