Triple
T25939138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Tygart Flyer |
E653642
|
entity |
| Predicate | primaryDepartureStation |
P17223
|
FINISHED |
| Object | Elkins Depot |
—
|
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: Elkins Depot | Statement: [New Tygart Flyer, primaryDepartureStation, Elkins Depot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDepartureStation Context triple: [New Tygart Flyer, primaryDepartureStation, Elkins Depot]
-
A.
startingStation
chosen
Indicates the station or location where a journey, route, or trip begins.
-
B.
departsFrom
Indicates that an entity (such as a vehicle, person, or process) begins its movement, journey, or operation starting from a specified location or point of origin.
-
C.
formerTerminalStation
Indicates that a location once served as the end point (terminus) of a transportation line or route but no longer holds that status.
-
D.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
E.
passengerTrainDestination
Indicates that a passenger train is headed toward or scheduled to arrive at a specific destination.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 22, 2026, 8:40 a.m.