Triple
T14390743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham and Fazeley Canal |
E356834
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Fazeley |
E1075046
|
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: Fazeley | Statement: [Birmingham and Fazeley Canal, connects, Fazeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fazeley Context triple: [Birmingham and Fazeley Canal, connects, Fazeley]
-
A.
Fazeley
chosen
Fazeley is a small town in Staffordshire, England, known for its historic canals and proximity to the town of Tamworth.
-
B.
Minstead
Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
-
C.
Burghfield
Burghfield is a village and civil parish in Berkshire, England, known for its rural character and proximity to Reading.
-
D.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
E.
Shinfield
Shinfield is a village and civil parish in Berkshire, England, situated just south of Reading and known for its mix of rural character and expanding residential developments.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5517f5e481908fd65177c34f4282 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.