Triple
T11299423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hirsel |
E267540
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Berwickshire |
E64234
|
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: Berwickshire | Statement: [The Hirsel, locatedIn, Berwickshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berwickshire Context triple: [The Hirsel, locatedIn, Berwickshire]
-
A.
Berwickshire
chosen
Berwickshire is a historic county in the southeast of Scotland, bordering England and the North Sea, known for its rural landscapes and coastal scenery.
-
B.
Roxburghshire
Roxburghshire is a historic county in the Scottish Borders, known for its rich medieval heritage and notable monastic sites.
-
C.
Aberdeenshire
Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
-
D.
Selkirkshire
Selkirkshire is a historic county in the Scottish Borders, known for its rural landscapes and literary associations, particularly with Sir Walter Scott.
-
E.
Kincardineshire
Kincardineshire is a historic county on the northeast coast of Scotland, known for its rugged coastline, fishing heritage, and agricultural hinterland.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2527570819092314ee0a678e53c |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:32 p.m.