Triple
T5560003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Passenger Train |
E145741
|
entity |
| Predicate | tiltAngle |
P23580
|
FINISHED |
| Object | up to 9 degrees |
—
|
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: up to 9 degrees | Statement: [Advanced Passenger Train, tiltAngle, up to 9 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tiltAngle Context triple: [Advanced Passenger Train, tiltAngle, up to 9 degrees]
-
A.
tiltedRelativeTo
Indicates that one entity is oriented at an angle with respect to another, rather than being parallel or perpendicular.
-
B.
tiltingCapability
chosen
Indicates the ability of one entity to tilt or be tilted relative to another or to a reference orientation.
-
C.
maxVerticalAngle
Indicates the greatest vertical angular difference or tilt between two entities or directions.
-
D.
bendAngle
Indicates the degree to which one part is bent relative to another, typically measured as the angle formed at their joint or intersection.
-
E.
dropAngle
Indicates the angle at which something is dropped or released relative to a reference direction or surface.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020167afc8190b0c518907cd0d99b |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.