Triple
T23563397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnsley Interchange |
E579302
|
entity |
| Predicate | railStationManagedBy |
P127693
|
FINISHED |
| Object | Northern Trains |
—
|
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: Northern Trains | Statement: [Barnsley Interchange, railStationManagedBy, Northern Trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railStationManagedBy Context triple: [Barnsley Interchange, railStationManagedBy, Northern Trains]
-
A.
railStationManager
chosen
Indicates that one entity manages, operates, or is responsible for the administration of a particular railway station.
-
B.
isRailwayStationInNetwork
Indicates that a railway station belongs to, and is served as part of, a particular railway network.
-
C.
hasRailwayStationRole
Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
-
D.
isRailwayStation
Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
-
E.
railTerminus
Indicates that a railway line or service ends at a particular station or location, which serves as its final terminus.
- F. None of above.
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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6a02208190b7d35c4e5da67a44 |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:31 p.m.