Triple
T19745872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crowborough |
E474248
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | CROWBOROUGH |
—
|
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: CROWBOROUGH | Statement: [Crowborough, hasPostTown, CROWBOROUGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CROWBOROUGH Context triple: [Crowborough, hasPostTown, CROWBOROUGH]
-
A.
Crowborough
chosen
Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
-
B.
Crayford
Crayford is a suburban town in southeast London, England, known for its residential character and rail links into central London.
-
C.
Oxborough
Oxborough is a small rural village in Norfolk, England, noted for its historic Oxburgh Hall and traditional countryside setting.
-
D.
Colnbrook
Colnbrook is a village in Berkshire, England, near Heathrow Airport, known historically as a coaching stop on the London–Bath road.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529387ac819094e4d66d630e8b98 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:47 p.m.