Triple
T5928577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluebird K7 |
E131875
|
entity |
| Predicate | displayedIn |
P16040
|
FINISHED |
| Object | Coniston, Cumbria |
E131868
|
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: Coniston, Cumbria | Statement: [Bluebird K7, displayedIn, Coniston, Cumbria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coniston, Cumbria Context triple: [Bluebird K7, displayedIn, Coniston, Cumbria]
-
A.
Coniston
chosen
Coniston is a village in England’s Lake District that serves as a popular base for exploring the surrounding fells and nearby Coniston Water.
-
B.
Keswick
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.
-
C.
Keswick
Keswick is a suburban community within the town of Georgina in Ontario, Canada, situated along the southern shores of Lake Simcoe.
-
D.
Bowness-on-Windermere
Bowness-on-Windermere is a popular tourist town on the shores of Lake Windermere in England’s Lake District, known for its lakeside attractions and boating.
-
E.
Glenridding
Glenridding is a small lakeside village in England’s Lake District, popular as a base for walking, sailing, and exploring the surrounding fells.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038571d108190b4f3d242c068452f |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cc1ba0c8190be1c0defb35c5b0c |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4 p.m.