Triple
T37221312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Car |
E922888
|
entity |
| Predicate | locationOnTrain |
—
|
GENERATED |
| Object | designated Green Car coaches |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOnTrain Context triple: [Green Car, locationOnTrain, designated Green Car coaches]
-
A.
positionInTrain
chosen
Indicates the relative location or ordering of an entity within the sequence of cars or sections that make up a train.
-
B.
isOnRailway
Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
-
C.
railPortalLocation
Indicates the geographic location or position of a rail portal (such as a tunnel or access point) relative to other referenced entities.
-
D.
trainsOn
Indicates that one entity receives training, instruction, or practice using or based on another entity (such as a resource, dataset, tool, or subject).
-
E.
seatLocatedIn
Indicates that a seat is situated within or belongs to a specific location or area.
- F. None of above.
Provenance (1 batch)
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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.