Triple
T5616328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Offaly |
E147485
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Brosna |
E265635
|
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 Brosna | Statement: [County Offaly, hasRiver, River Brosna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Brosna Context triple: [County Offaly, hasRiver, River Brosna]
-
A.
River Brosna
chosen
River Brosna is a river in Ireland that flows through counties such as Westmeath and Offaly before joining the River Shannon.
-
B.
River Bain
River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
-
C.
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.
-
D.
River Roden
River Roden is a small river in Shropshire, England, that flows through rural countryside before joining the River Tern.
-
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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021da7f848190bb1cd0270ad6398f |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ece7e2881909da0e81ccf8c4eb4 |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 22, 2026, 3:39 p.m.