Triple
T6485991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brodick Castle |
E146510
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Brodick |
E164073
|
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: Brodick | Statement: [Brodick Castle, locatedIn, Brodick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brodick Context triple: [Brodick Castle, locatedIn, Brodick]
-
A.
Brodick
chosen
Brodick is the main village and ferry port on the Isle of Arran in Scotland, known as a gateway for visitors to the island.
-
B.
Dundonald
Dundonald is a village in Fife, Scotland, situated near the former mining town of Cardenden.
-
C.
Dunnichen
Dunnichen is a small rural village in eastern Scotland, historically noted as a possible site of the Battle of Dunnichen (Nechtansmere) in 685 AD.
-
D.
Tillicoultry
Tillicoultry is a small town in central Scotland, situated at the foot of the Ochil Hills and historically known for its textile and woollen industries.
-
E.
Killearn
Killearn is a small village in central Scotland known for its rural setting and proximity to the Campsie Fells.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a706d4c8190b7a3cc8855abcecb |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fd88d7c8190a98b7a48d49280c3 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:52 p.m.