Triple
T2551622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wrekin (UK Parliament constituency) |
E56638
|
entity |
| Predicate | electsHowMany |
P31812
|
FINISHED |
| Object | one Member of Parliament |
—
|
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: one Member of Parliament | Statement: [The Wrekin (UK Parliament constituency), electsHowMany, one Member of Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electsHowMany Context triple: [The Wrekin (UK Parliament constituency), electsHowMany, one Member of Parliament]
-
A.
numberOfElectedMembers
chosen
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
-
B.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
-
C.
elects
Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
-
D.
increasedNumberOfElectors
Indicates that the number of electors associated with an entity has grown compared to a previous state or reference point.
-
E.
eachDistrictElects
Indicates that every electoral district selects or chooses its own representative or set of representatives.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.