Triple
T20991878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Street |
E517044
|
entity |
| Predicate | hasNearbyFell |
P26475
|
FINISHED |
| Object | The Knott |
—
|
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: The Knott | Statement: [High Street, hasNearbyFell, The Knott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Knott Context triple: [High Street, hasNearbyFell, The Knott]
-
A.
The Knott
chosen
The Knott is a small but prominent fell in England’s Lake District, offering panoramic views over the surrounding Eastern Fells.
-
B.
Knott
Knott is a prominent fell in England’s Lake District, known as one of the higher and more remote summits in the Northern Fells.
-
C.
Knott
Knott is a surname most notably associated with British playwright Frederick Knott, known for his suspenseful stage works.
-
D.
Warrendale Knotts
Warrendale Knotts is a prominent limestone hill and climbing area in the Yorkshire Dales of northern England, known for its rugged crags and scenic views near Settle.
-
E.
Knotts
Knotts is the surname of American actor and comedian Don Knotts, best known for his role as Barney Fife on "The Andy Griffith Show."
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1cbb10819089e4f1445b921946 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.