Triple
T5776311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catbells |
E127449
|
entity |
| Predicate | closestTown |
P3883
|
FINISHED |
| Object | Keswick |
E24370
|
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: Keswick | Statement: [Catbells, closestTown, Keswick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keswick Context triple: [Catbells, closestTown, Keswick]
-
A.
Keswick
chosen
Keswick is a historic market town and popular tourist base in England’s Lake District, known for its scenic setting near Derwentwater and surrounding fells.
-
B.
Keswick
Keswick is a suburban community within the town of Georgina in Ontario, Canada, situated along the southern shores of Lake Simcoe.
-
C.
Workington
Workington is a coastal town and port on the west coast of England, historically known for its steel and coal industries and situated at the mouth of the River Derwent.
-
D.
Glenridding
Glenridding is a small lakeside village in England’s Lake District, popular as a base for walking, sailing, and exploring the surrounding fells.
-
E.
Kirkby Stephen
Kirkby Stephen is a small market town in Cumbria, England, known for its historic architecture and scenic location near the Yorkshire Dales and Lake District.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029de3bb4819087a6f3e920e12990 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e75b76c8190881ce6ec2d093925 |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:50 p.m.