Triple
T4350094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Ember |
E98001
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Elmbridge borough |
E95873
|
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: Elmbridge borough | Statement: [River Ember, flowsThrough, Elmbridge borough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmbridge borough Context triple: [River Ember, flowsThrough, Elmbridge borough]
-
A.
Elmbridge
chosen
Elmbridge is a local government district and borough in Surrey, England, known for its affluent suburban towns and proximity to London.
-
B.
Spelthorne
Spelthorne is a local government district and borough in Surrey, England, encompassing several towns and suburbs along the River Thames.
-
C.
Tonbridge and Malling Borough
Tonbridge and Malling Borough is a local government district in Kent, England, encompassing a mix of historic market towns, suburban communities, and rural countryside.
-
D.
Hillingdon
Hillingdon is a suburban borough in West London, England, known for containing Heathrow Airport and a mix of residential areas, green spaces, and commercial hubs.
-
E.
London Borough of Bexley
The London Borough of Bexley is a suburban borough in southeast London known for its residential character, green spaces, and location along 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a840248190b88c8a7be9158d25 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa0121b48190899cb4be8b87a93b |
completed | March 21, 2026, 1:53 a.m. |
Created at: March 12, 2026, 11:15 p.m.