Triple
T10289948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheffield Midland |
E241335
|
entity |
| Predicate | hasStationCategory |
P2767
|
FINISHED |
| Object | DfT category B |
E5756
|
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: DfT category B | Statement: [Sheffield Midland, hasStationCategory, DfT category B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DfT category B Context triple: [Sheffield Midland, hasStationCategory, DfT category B]
-
A.
DfT category B
chosen
DfT category B is a UK Department for Transport classification for major railway stations that handle high passenger volumes but are not the very busiest national hubs.
-
B.
DfT category E
DfT category E is a classification used by the UK Department for Transport for small, typically unstaffed or lightly staffed local railway stations with relatively low passenger usage.
-
C.
DfT category C2
DfT category C2 is a UK Department for Transport classification denoting a medium-usage railway station with important regional significance and a moderate range of passenger facilities.
-
D.
DGT
DGT is the National Rail station code for Deansgate railway station in Manchester, England.
-
E.
DGT
DGT is the IATA airport code for Sibulan Airport serving Dumaguete City in the Philippines.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d192288190a64c27a4f26b71fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f85dcbac8190a2ac66354010e328 |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:41 a.m.