Triple
T1557461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Eden |
E33239
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Armathwaite |
E153584
|
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: Armathwaite | Statement: [River Eden, flowsThrough, Armathwaite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armathwaite Context triple: [River Eden, flowsThrough, Armathwaite]
-
A.
Armathwaite
chosen
Armathwaite is a small rural village in Cumbria, England, known for its scenic setting on the River Eden and its historic stone bridge and railway station.
-
B.
Aywick
Aywick is a small coastal settlement on the island of Yell in Shetland, Scotland.
-
C.
Crowland
Crowland is a historic market town in the South Holland district of Lincolnshire, England, best known for its medieval abbey ruins and distinctive three-sided bridge.
-
D.
Wasdale
Wasdale is a remote valley in England's Lake District, renowned for its dramatic mountain scenery, including England’s highest peak, Scafell Pike, and Wast Water, its deepest lake.
-
E.
Ribblehead
Ribblehead is a remote hamlet in North Yorkshire, England, best known for its dramatic moorland setting and the iconic Ribblehead Viaduct on the Settle–Carlisle railway.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9088355048190adad5ea2bb558d13 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401e12088190b6f0f5b0d8a423cf |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:27 p.m.