Triple
T13316493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humber drainage basin |
E317200
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | River Freshney |
E595751
|
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: River Freshney | Statement: [Humber drainage basin, hasPart, River Freshney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Freshney Context triple: [Humber drainage basin, hasPart, River Freshney]
-
A.
River Freshney
chosen
River Freshney is a small river in North East Lincolnshire, England, that flows through the town of Grimsby and into the Humber estuary.
-
B.
River Multeen
River Multeen is a small river in Ireland that serves as one of the tributaries feeding into the larger River Suir system.
-
C.
River Gaywood
River Gaywood is a small river in Norfolk, England, that flows through the town of King’s Lynn before joining the Great Ouse.
-
D.
River Feugh
River Feugh is a scenic river in Aberdeenshire, Scotland, known for its salmon leap and picturesque footbridge near Banchory.
-
E.
River Browney
River Browney is a river in County Durham, England, that flows through former coal-mining areas before joining the River Wear near Durham.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f9a384819085890e18255ee339 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d80a8708190a3a7616dbeb2c0de |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:29 p.m.