Triple
T4711465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wem |
E104520
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Roden |
E208730
|
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 Roden | Statement: [Wem, hasRiver, River Roden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Roden Context triple: [Wem, hasRiver, River Roden]
-
A.
River Roden
chosen
River Roden is a small river in Shropshire, England, that flows through rural countryside before joining the River Tern.
-
B.
River Endrick
River Endrick is a river in central Scotland that flows through Stirlingshire and into Loch Lomond, contributing significantly to the loch’s freshwater system.
-
C.
River Bain
River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
-
D.
River Brock
River Brock is a small river in Lancashire, England, known for flowing through the Forest of Bowland before joining the River Wyre.
-
E.
River Brosna
River Brosna is a river in Ireland that flows through counties such as Westmeath and Offaly before joining the River Shannon.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64049d6c8190be19935048fc6b14 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cad46d4081908f685d961d100d42 |
completed | March 27, 2026, 6:22 p.m. |
Created at: March 20, 2026, 1:17 p.m.