Triple
T32460877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheddleton |
E829567
|
entity |
| Predicate | heritageRailwayStation |
P13106
|
FINISHED |
| Object | Cheddleton railway station |
—
|
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: Cheddleton railway station | Statement: [Cheddleton, heritageRailwayStation, Cheddleton railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heritageRailwayStation Context triple: [Cheddleton, heritageRailwayStation, Cheddleton railway station]
-
A.
railwayHeritageFeature
Indicates that something is a feature associated with railway heritage, such as historically significant railway structures, equipment, or related elements.
-
B.
formerRailwayStation
Indicates that a location previously functioned as a railway station but is no longer in active railway service.
-
C.
railwayHeritageFrom
Indicates that something derives its historical or cultural significance from a particular railway or railway-related source.
-
D.
hasHeritageRailwayStation
chosen
Indicates that an entity possesses or is associated with a railway station that is preserved or operated as a heritage or historical railway facility.
-
E.
heritageRailwayName
Indicates the specific name assigned to a heritage railway associated with an entity.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 12:57 a.m.