Triple
T7178783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doune Castle |
E167390
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Doune |
E177817
|
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: Doune | Statement: [Doune Castle, locatedIn, Doune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doune Context triple: [Doune Castle, locatedIn, Doune]
-
A.
Doune
chosen
Doune is a historic village in central Scotland, noted for its medieval Doune Castle and its location near the River Teith.
-
B.
Doune Castle
Doune Castle is a medieval stronghold in central Scotland, famed for its well-preserved architecture and frequent use as a filming location in productions such as Monty Python and the Holy Grail, Outlander, and Game of Thrones.
-
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.
Dryburgh
Dryburgh is a village in the Scottish Borders best known as the picturesque riverside setting of the medieval Dryburgh Abbey and the burial place of Sir Walter Scott.
-
E.
Kingussie
Kingussie is a small town in the Scottish Highlands that serves as a local hub and rail stop on the route between Edinburgh and Inverness.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b9756481908f35bceefb77ddce |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b935eb088190acb0b8a6b75addbb |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.