Triple
T31907148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stourbridge Town railway station |
E814582
|
entity |
| Predicate | regionRailNetwork |
P24517
|
FINISHED |
| Object | West Midlands Trains network |
—
|
LITERAL 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: West Midlands Trains network | Statement: [Stourbridge Town railway station, regionRailNetwork, West Midlands Trains network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionRailNetwork Context triple: [Stourbridge Town railway station, regionRailNetwork, West Midlands Trains network]
-
A.
railroadNetwork
chosen
Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
-
B.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
-
C.
railNetworkCenter
Indicates that a location functions as a central hub or focal point within a rail transportation network.
-
D.
railFranchise
Indicates a contractual relationship in which a company is granted the right to operate rail services or manage rail infrastructure within a specified area or route.
-
E.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
Created at: May 1, 2026, midnight