Triple
T13669359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loch Tummel |
E327707
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Queen’s View |
E595905
|
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: Queen’s View | Statement: [Loch Tummel, knownFor, Queen’s View]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen’s View Context triple: [Loch Tummel, knownFor, Queen’s View]
-
A.
Queen’s View
chosen
Queen’s View is a famous scenic lookout in Perthshire, Scotland, offering panoramic vistas over Loch Tummel and the surrounding Highlands.
-
B.
Queen’s Stand
Queen’s Stand is a prominent grandstand at Epsom Downs Racecourse, offering prime viewing for major horse racing events such as The Derby.
-
C.
Queen’s Suite
Queen’s Suite is a major event and exhibition hall within the Harrogate Convention Centre complex in Harrogate, England.
-
D.
The Look-Out
"The Look-Out" is a poem by H.D. (Hilda Doolittle), included in her imagist collection *Sea Garden*, noted for its vivid maritime imagery and concise, evocative style.
-
E.
The Queen's Nose
The Queen's Nose is a British children's television series, based on Dick King-Smith's novel, about a magical 50p coin that grants wishes with unexpected consequences.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0f56048190bcbc6581a8cdc0f5 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.