Triple
T13254391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uxbridge, Ontario |
E315620
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Uxbridge, England |
E131158
|
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: Uxbridge, England | Statement: [Uxbridge, Ontario, namedAfter, Uxbridge, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uxbridge, England Context triple: [Uxbridge, Ontario, namedAfter, Uxbridge, England]
-
A.
Uxbridge
Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
-
B.
Uxbridge
chosen
Uxbridge is a suburban town in West London, England, known as a major commercial and administrative centre and the terminus of a branch of the London Underground.
-
C.
Hounslow, London, England
Hounslow, London, England is a suburban district in West London known for its diverse community and proximity to Heathrow Airport.
-
D.
Middlesex, England
Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
-
E.
Surrey, England
Surrey, England is a county in South East England known for its affluent towns, leafy suburbs, and proximity to London.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7edb40819095dfa45d3c61a0e3 |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:24 p.m.