Triple
T17576977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnetby railway station |
E428094
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Barnetby |
—
|
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: Barnetby | Statement: [Barnetby railway station, locatedIn, Barnetby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnetby Context triple: [Barnetby railway station, locatedIn, Barnetby]
-
A.
Barnetby
chosen
Barnetby is a village and railway junction in North Lincolnshire, England, known for its busy rail connections on routes across northern and eastern England.
-
B.
Barnby
Barnby is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
C.
Barrowby
Barrowby is a village in Lincolnshire, England, known for its rural character and proximity to the market town of Grantham.
-
D.
Brocklesby
Brocklesby is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural community and historic railway connections.
-
E.
Navenby
Navenby is a historic village and civil parish in Lincolnshire, England, known for its traditional architecture and rural character.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463ca76848190a7beb6deb4b0f1a4 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.