Triple
T7320013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenegedale Airport |
E168513
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Bowmore |
E117672
|
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: Bowmore | Statement: [Glenegedale Airport, cityServed, Bowmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowmore Context triple: [Glenegedale Airport, cityServed, Bowmore]
-
A.
Bowmore
chosen
Bowmore is a prominent village on the Scottish island of Islay, known for its historic distillery and distinctive round church.
-
B.
Talisker
Talisker is a small coastal settlement on the Isle of Skye in Scotland, known for its dramatic scenery and proximity to the famous Talisker whisky distillery.
-
C.
Glenmorangie
Glenmorangie is a renowned Scottish distillery best known for its Highland single malt Scotch whisky.
-
D.
Deanston
Deanston is a small Scottish village on the River Teith best known for its historic cotton mill and whisky distillery.
-
E.
The Glenlivet
The Glenlivet is a renowned single malt Scotch whisky from Speyside, Scotland, celebrated as one of the world’s best-selling and most influential malt whiskies.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1a7a3c81909504eb711056f302 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eefcd7148190818d581cbde9aff1 |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:02 p.m.