Triple
T20187770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Force |
E492906
|
entity |
| Predicate | maxDropAngle |
P57758
|
FINISHED |
| Object | 80 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: 80 degrees | Statement: [Millennium Force, maxDropAngle, 80 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxDropAngle Context triple: [Millennium Force, maxDropAngle, 80 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.
maxVerticalAngle
Indicates the greatest vertical angular difference or tilt between two entities or directions.
-
D.
lowerInclinationAngle
Indicates that one entity has a smaller or more downward-tilted inclination angle compared to another entity.
-
E.
verticalDrop_m
Indicates the vertical distance, measured in meters, through which something drops or falls from a higher point to a lower point.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad2c43c8190a2fc5ef2a0514e53 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.