Triple
T4764465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Park (Oxford) |
E105773
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Oxford urban area |
E19137
|
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: Oxford urban area | Statement: [South Park (Oxford), region, Oxford urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford urban area Context triple: [South Park (Oxford), region, Oxford urban area]
-
A.
Douglas conurbation
The Douglas conurbation is the main urban and economic agglomeration centered on Douglas, the capital of the Isle of Man, encompassing surrounding residential areas such as Onchan.
-
B.
Southampton urban area
The Southampton urban area is the contiguous built-up region centered on the city of Southampton on England’s south coast, encompassing its suburbs and surrounding settlements.
-
C.
Milton Keynes
Milton Keynes is a large, planned new town in Buckinghamshire, England, known for its grid road system, modern architecture, and extensive green spaces.
-
D.
Oxford
Oxford is a small town in New Haven County, Connecticut, known for its suburban-rural character and growing residential communities.
-
E.
Oxford
chosen
Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65327af48190881c25763232c368 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a87741081909380c51ba4efed92 |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:21 p.m.