Triple
T32007371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derry and Strabane District |
E817305
|
entity |
| Predicate | electoralAreaCount |
P13200
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Derry and Strabane District, electoralAreaCount, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoralAreaCount Context triple: [Derry and Strabane District, electoralAreaCount, 7]
-
A.
numberOfElectorates
Indicates the total count of electoral districts or constituencies associated with a given entity.
-
B.
electoralAreaOf
Indicates that a given electoral area (such as a district or ward) is the designated electoral division associated with a particular jurisdiction or entity.
-
C.
electoralRegionSeatCount
Indicates the number of seats allocated to a given electoral region within a representative body or legislature.
-
D.
electoralCountLocation
Indicates the place or jurisdiction in which an electoral vote count or tally is conducted or recorded.
-
E.
hasNumberOfConstituencies
chosen
Indicates the specific count of constituencies associated with an 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
Created at: May 1, 2026, 12:15 a.m.