Triple
T5812820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rother District |
E128910
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | River Rother |
E408943
|
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 Rother | Statement: [Rother District, namedAfter, River Rother]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Rother Context triple: [Rother District, namedAfter, River Rother]
-
A.
River Rother
chosen
River Rother is a river in East Sussex, England, that flows through the Weald to the English Channel near the town of Rye.
-
B.
River Rother
The River Rother is a river in central England that flows through Derbyshire and South Yorkshire before joining the River Don.
-
C.
River Adur
The River Adur is a river in West Sussex, England, that flows through the South Downs to reach the English Channel at Shoreham-by-Sea.
-
D.
River Darent
River Darent is a chalk stream river in Kent, England, flowing north through the Darent Valley to join the River Thames.
-
E.
River Kennet
River Kennet is a significant chalk stream in southern England that flows through Wiltshire and Berkshire before joining the River Thames.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b56044c8190847478a342d441c2 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1411fbd448190be3c3b6a5942ef83 |
completed | March 23, 2026, 1:33 p.m. |
Created at: March 22, 2026, 3:52 p.m.