Triple
T15150566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isleworth Studios |
E361929
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Isleworth |
—
|
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: Isleworth | Statement: [Isleworth Studios, locatedIn, Isleworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isleworth Context triple: [Isleworth Studios, locatedIn, Isleworth]
-
A.
Isleworth
chosen
Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
-
B.
Esher
Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
-
C.
Harmondsworth
Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
-
D.
Chertsey
Chertsey is a small rural settlement in New Zealand’s Canterbury region, situated within the Ashburton District and known for its agricultural surroundings.
-
E.
Chertsey
Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c934048190afac78a8023a544a |
completed | April 15, 2026, 9:40 p.m. |
Created at: April 10, 2026, 3:07 a.m.