Triple
T356557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Yeager |
E7554
|
entity |
| Predicate | speedAchieved |
P12248
|
FINISHED |
| Object | Mach 1.06 |
—
|
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: Mach 1.06 | Statement: [Chuck Yeager, speedAchieved, Mach 1.06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speedAchieved Context triple: [Chuck Yeager, speedAchieved, Mach 1.06]
-
A.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
acceleration0To60mph
Indicates the rate or time it takes for something to increase its speed from 0 to 60 miles per hour.
-
C.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
D.
hasAverageSurfaceSpeed
Indicates the typical or mean speed at which something moves across a surface over a given period or distance.
-
E.
originalLineSpeed
Indicates the speed at which something initially moves or operates before any changes or adjustments are made.
- F. None of above. chosen
Provenance (4 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebaf0c9881909313f98818e7fa58 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e959ce948190a201c017eecb7c95 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2c44408190946267525c88e811 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.