Triple
T5393402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heath End |
E120588
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Farnham urban area |
E22526
|
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: Farnham urban area | Statement: [Heath End, partOf, Farnham urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farnham urban area Context triple: [Heath End, partOf, Farnham urban area]
-
A.
Farnham
chosen
Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
-
B.
Bracknell Forest
Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
-
C.
Wokingham
Wokingham is a historic market town in Berkshire, England, known for its traditional town center and role as a commuter hub for nearby Reading and London.
-
D.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
-
E.
Aylesbury Vale
Aylesbury Vale is a largely rural district in Buckinghamshire, England, known for its market town of Aylesbury and its rolling agricultural countryside.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd871b81d08190993928e2c6251226 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c4cdec48190908b52a37b82c2d1 |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:04 p.m.