Triple
T14741755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BuzzSaw |
E346364
|
entity |
| Predicate | angleOfDrop |
P57758
|
FINISHED |
| Object | 102 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: 102 degrees | Statement: [BuzzSaw, angleOfDrop, 102 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: angleOfDrop Context triple: [BuzzSaw, angleOfDrop, 102 degrees]
-
A.
dropAngle
chosen
Indicates the angle at which something is dropped or released relative to a reference direction or surface.
-
B.
firstDropAngle
Indicates the angle at which an object or entity initially begins to fall or be dropped from its starting position.
-
C.
angleOfIncident
Indicates the angle at which one entity (such as a ray, line, or object) strikes or approaches the surface or boundary of another entity.
-
D.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
E.
leanAngle
Indicates the degree to which an entity is tilted or inclined away from a reference upright position.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7367a1c819081082cc355e385fa |
completed | April 14, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.