Triple
T11279108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of Banffshire |
E267013
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Banffshire |
E426909
|
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: Banffshire | Statement: [Lord Lieutenant of Banffshire, locatedIn, Banffshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banffshire Context triple: [Lord Lieutenant of Banffshire, locatedIn, Banffshire]
-
A.
Banffshire
chosen
Banffshire is a historic county in northeast Scotland, known for its rugged coastline along the Moray Firth and its traditional fishing and agricultural communities.
-
B.
Selkirkshire
Selkirkshire is a historic county in the Scottish Borders, known for its rural landscapes and literary associations, particularly with Sir Walter Scott.
-
C.
Roxburghshire
Roxburghshire is a historic county in the Scottish Borders, known for its rich medieval heritage and notable monastic sites.
-
D.
Aberdeenshire
Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
-
E.
Dumfriesshire
Dumfriesshire is a historic county in the Southern Uplands of Scotland, known for its rural landscapes, market towns, and borderland history.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e969b3448190940e2bd499d2d7de |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f1e29c8190b073c3293cf68cb2 |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:31 p.m.