Triple
T24358696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton Abbot railway station |
E613996
|
entity |
| Predicate | hasFormerRailFacility |
P32009
|
FINISHED |
| Object | engine shed |
—
|
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: engine shed | Statement: [Newton Abbot railway station, hasFormerRailFacility, engine shed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerRailFacility Context triple: [Newton Abbot railway station, hasFormerRailFacility, engine shed]
-
A.
hasRailFacility
Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
-
B.
hadRailwayStation
Indicates that a place or area previously possessed a railway station, which may no longer be in existence or operation.
-
C.
hasFormerStation
Indicates that an entity previously had a particular station (e.g., a stop, depot, or facility) that is no longer in active use or part of its current infrastructure.
-
D.
hasRailroadHistoryWith
Indicates a historical relationship or connection between entities involving railroads, such as shared development, operation, or significant events in railway history.
-
E.
formerRailUse
chosen
Indicates that an entity previously served a particular railway-related function or purpose, but no longer does so.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2934ac3fc819093f0edb8f3af0842 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.