Triple
T20367347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beragh |
E496947
|
entity |
| Predicate | railwayStationClosedToPassengers |
P28717
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Beragh, railwayStationClosedToPassengers, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayStationClosedToPassengers Context triple: [Beragh, railwayStationClosedToPassengers, 1950s]
-
A.
closedForPassengers
Indicates that a transportation facility or vehicle is not available for use by passengers.
-
B.
railLineClosed
Indicates that a railway line has been officially taken out of service and is no longer operational for train traffic.
-
C.
formerRailwayStation
chosen
Indicates that a location previously functioned as a railway station but is no longer in active railway service.
-
D.
originalStationClosed
Indicates that the original station associated with an entity has been closed or is no longer in operation.
-
E.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:26 a.m.