Triple
T17476910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horsecross Arts |
E425561
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Perth and Kinross |
—
|
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: Perth and Kinross | Statement: [Horsecross Arts, operatesIn, Perth and Kinross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perth and Kinross Context triple: [Horsecross Arts, operatesIn, Perth and Kinross]
-
A.
Perth and Kinross
chosen
Perth and Kinross is a council area in central Scotland known for its mix of historic towns, such as Perth, and extensive rural and Highland landscapes.
-
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.
Aberdeenshire
Aberdeenshire is a large council area in northeastern Scotland known for its North Sea coastline, rural landscapes, and historic castles.
-
D.
Perthshire
Perthshire is a historic county in central Scotland known for its scenic Highlands landscapes, lochs, and rich cultural heritage.
-
E.
Perthshire
Perthshire is a historic county in central Scotland known for its scenic lochs, mountains, and forests, often referred to as “Big Tree Country.”
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bc3f908190b2c7a2d1f75a43f2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.