Triple
T6886370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Baldwin |
E158929
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Bewdley |
E128874
|
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: Bewdley | Statement: [Alfred Baldwin, residence, Bewdley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bewdley Context triple: [Alfred Baldwin, residence, Bewdley]
-
A.
Bewdley
chosen
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
-
B.
Bardwell
Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
-
C.
Beachamwell
Beachamwell is a small rural village in Norfolk, England, known for its traditional countryside setting and historic parish church.
-
D.
Belchford
Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
-
E.
Bainsford
Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748cc2f908190b593cd82133a7b16 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:23 p.m.