Triple
T23255427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrietsham |
E581854
|
entity |
| Predicate | hasNearbyFeature |
P350
|
FINISHED |
| Object | River Len |
—
|
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: River Len | Statement: [Harrietsham, hasNearbyFeature, River Len]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Len Context triple: [Harrietsham, hasNearbyFeature, River Len]
-
A.
River Len
chosen
The River Len is a small river in Kent, England, known for flowing through the town of Maidstone and contributing to the River Medway system.
-
B.
River Leny
River Leny is a Scottish river in the Trossachs that flows from Loch Lubnaig through a scenic wooded gorge near Callander, popular for walking, kayaking, and its picturesque waterfalls.
-
C.
River Brun
River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
-
D.
River Brit
The River Brit is a small river in West Dorset, England, that flows through the town of Bridport before reaching the English Channel at West Bay.
-
E.
River Kinder
The River Kinder is a small moorland river in the Peak District of England, known for its dramatic Kinder Downfall waterfall and rugged upland scenery.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193fadac881908579b5729718ee41 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:11 p.m.