Triple
T5676648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banff |
E125100
|
entity |
| Predicate | locatedInHistoricRegion |
P5057
|
FINISHED |
| Object | Grampian |
E319954
|
NE 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: Grampian | Statement: [Banff, locatedInHistoricRegion, Grampian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grampian Context triple: [Banff, locatedInHistoricRegion, Grampian]
-
A.
Grampian
chosen
Grampian was a former local government region in northeast Scotland, centered on the city of Aberdeen and known for its North Sea oil industry and agricultural hinterland.
-
B.
Tayside
Tayside is a former administrative region in eastern Scotland that included areas such as Angus, Dundee, and Perth and Kinross.
-
C.
Lothian and Fife
Lothian and Fife are historic regions of eastern Scotland situated on opposite shores of the Firth of Forth, encompassing major urban centers such as Edinburgh and Dunfermline.
-
D.
Ayrshire
Ayrshire is a historic county and coastal region in southwest Scotland known for its agriculture, seaside towns, and associations with poet Robert Burns.
-
E.
Aberdeenshire
Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023728f488190a3622844d78caa13 |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097dbdbc081909dd228c61461c5c8 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:43 p.m.