Triple
T21023539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid Scotland and Fife electoral region |
E517877
|
entity |
| Predicate | numberOfRegionalSeats |
P59176
|
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: [Mid Scotland and Fife electoral region, numberOfRegionalSeats, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRegionalSeats Context triple: [Mid Scotland and Fife electoral region, numberOfRegionalSeats, 7]
-
A.
regionSeatsCount
Indicates the number of seats allocated or available within a specific region.
-
B.
electoralRegionSeatCount
chosen
Indicates the number of seats allocated to a given electoral region within a representative body or legislature.
-
C.
numberOfRegions
Indicates the total count of distinct regions associated with or contained within a given entity.
-
D.
numberOfRegionalMembers
Indicates the quantity of members associated with or belonging to a specific region within a given context.
-
E.
numberOfRegionalCouncils
Indicates the total count of regional councils associated with a given 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5f5bcc8190ab5fcc467703f0ef |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.