Triple
T21362842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forres |
E526827
|
entity |
| Predicate | historicCounty |
P1069
|
FINISHED |
| Object | Morayshire |
—
|
NE NERFINISHED |
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: Morayshire | Statement: [Forres, historicCounty, Morayshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morayshire Context triple: [Forres, historicCounty, Morayshire]
-
A.
Nairnshire
Nairnshire is a historic county in the northeast of Scotland, centered on the coastal town of Nairn along the Moray Firth.
-
B.
Dumfriesshire
Dumfriesshire is a historic county in the Southern Uplands of Scotland, known for its rural landscapes, market towns, and borderland history.
-
C.
Elginshire
chosen
Elginshire is a historic county in northeastern Scotland, centered on the town of Elgin and now largely corresponding to the modern council area of Moray.
-
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.
Kirkcudbrightshire
Kirkcudbrightshire is a historic county in southwestern Scotland, known for its rural landscapes, coastline along the Solway Firth, and traditional market towns.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5bad6a308190a9665734a0fb5f55 |
completed | April 26, 2026, 6:38 p.m. |
Created at: April 16, 2026, 5:08 p.m.