Triple
T900235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A25 road |
E19429
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Westerham |
E51107
|
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: Westerham | Statement: [A25 road, passesThrough, Westerham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westerham Context triple: [A25 road, passesThrough, Westerham]
-
A.
Westerham
chosen
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
B.
Beckenham
Beckenham is a suburban town in southeast London known for its residential character, green spaces, and commuter links into central London.
-
C.
Chislehurst
Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
-
D.
West Wickham
West Wickham is a suburban area in southeast London known for its residential character, local high street, and transport links into central London.
-
E.
Isleworth
Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad42ecac81909f8bc554d2fe0363 |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15866b448190b20334eddca756eb |
completed | March 8, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:39 p.m.