Triple
T19892513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Bann |
E478065
|
entity |
| Predicate | constituencyCategory |
P15309
|
FINISHED |
| Object | county constituency |
—
|
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: county constituency | Statement: [Upper Bann, constituencyCategory, county constituency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constituencyCategory Context triple: [Upper Bann, constituencyCategory, county constituency]
-
A.
constituencyType
chosen
Indicates the specific kind or category of electoral or representative district to which an entity belongs or refers.
-
B.
constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
-
C.
votingConstituency
Indicates the electoral district or constituency in which an entity has the right or obligation to vote.
-
D.
electorateCategory
Indicates the classification of an electorate or voter group into a specific category based on defined electoral or demographic criteria.
-
E.
parliamentaryConstituency
Indicates that one entity serves as the parliamentary constituency to which the other entity (such as a place or representative) is formally linked or assigned.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590ed7988190bc6b610d1f4fa194 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.