Triple
T21187514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torksey Castle |
E522120
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Torksey |
—
|
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: Torksey | Statement: [Torksey Castle, locatedIn, Torksey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torksey Context triple: [Torksey Castle, locatedIn, Torksey]
-
A.
Torksey
chosen
Torksey is a small historic village in Lincolnshire, England, known for its location on the River Trent and its medieval and Viking-era heritage.
-
B.
Uttoxeter
Uttoxeter is a historic market town in central England known for its racecourse and rural Staffordshire setting.
-
C.
Tuxford
Tuxford is a small historic market town in Nottinghamshire, England, known for its traditional architecture and rural surroundings.
-
D.
Caddington
Caddington is a village and civil parish in Bedfordshire, England, situated near the town of Dunstable.
-
E.
Kintbury
Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7302222788190aa55ee0ed7342498 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:07 p.m.