Triple
T6737716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acle |
E153998
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Bure |
E77275
|
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 Bure | Statement: [Acle, hasRiver, River Bure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Bure Context triple: [Acle, hasRiver, River Bure]
-
A.
River Bure
chosen
The River Bure is a river in Norfolk, England, that flows through the Norfolk Broads before reaching the North Sea near Great Yarmouth.
-
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 Brosna
River Brosna is a river in Ireland that flows through counties such as Westmeath and Offaly before joining the River Shannon.
-
D.
Đáy River
Đáy River is a significant river in northern Vietnam that flows through several provinces and districts, serving as an important waterway and agricultural resource.
-
E.
River Roden
River Roden is a small river in Shropshire, England, that flows through rural countryside before joining the River Tern.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1850a288190aa7e647fefbb0ede |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0b97248190bf6bac160fe3d45b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.