Triple
T11193918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stalybridge railway station |
E264871
|
entity |
| Predicate | isOnTransPennineRouteUpgrade |
P97778
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Stalybridge railway station, isOnTransPennineRouteUpgrade, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnTransPennineRouteUpgrade Context triple: [Stalybridge railway station, isOnTransPennineRouteUpgrade, yes]
-
A.
isTransPennineRoute
Indicates that something is a route crossing the Pennines, typically connecting locations on opposite sides of the Pennine mountain range.
-
B.
isOnEastWestTrunkLine
Indicates that something is located on, or directly aligned with, a primary east–west transportation or utility trunk line.
-
C.
isOnPassengerNetwork
Indicates that an entity is part of, connected to, or operates within a passenger transportation network.
-
D.
hasRailRoute
Indicates that there exists a rail-based transportation route or connection between the related entities.
-
E.
hasPiccadillyPlatformsBetween
Indicates that one station has Piccadilly line platforms located between it and another station along the route.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.