Triple
T20030313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shipton-on-Cherwell train crash |
E495103
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kidlington |
—
|
NE NERFINISHED |
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: Kidlington | Statement: [Shipton-on-Cherwell train crash, near, Kidlington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidlington Context triple: [Shipton-on-Cherwell train crash, near, Kidlington]
-
A.
Kidlington
chosen
Kidlington is a large village and civil parish in Oxfordshire, England, situated just north of Oxford and known as one of the largest villages in the country.
-
B.
Chiswick
Chiswick is a harbourside residential suburb in Sydney, Australia, known for its waterfront views and proximity to the city centre.
-
C.
Chiswick
Chiswick is a suburban district in West London, England, known for its riverside location along the Thames, historic architecture, and affluent residential character.
-
D.
Bletchingley
Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
-
E.
Teddington
Teddington is a suburban town in southwest London, England, known for its riverside location on the Thames and proximity to several royal parks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66291a00c8190b0b895909f32d623 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.