Triple
T36885778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colwich Junction |
E911604
|
entity |
| Predicate | railwayRouteRole |
P190395
|
FINISHED |
| Object | key node on West Coast Main Line |
—
|
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: key node on West Coast Main Line | Statement: [Colwich Junction, railwayRouteRole, key node on West Coast Main Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayRouteRole Context triple: [Colwich Junction, railwayRouteRole, key node on West Coast Main Line]
-
A.
railwayLineRole
Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
-
B.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
-
C.
railwayTrafficRole
Indicates the specific function or responsibility an entity has within the operation, management, or control of railway traffic.
-
D.
undergroundRailroadRole
Indicates the specific role or function an entity played within the operations or support network of the Underground Railroad.
-
E.
hasRailRoute
Indicates that there exists a rail-based transportation route or connection between the related entities.
- F. None of above. chosen
Provenance (4 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:13 p.m.