Triple
T28551320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix Baumgartner |
E722891
|
entity |
| Predicate | freefallAltitude |
P101815
|
FINISHED |
| Object | approximately 39,000 metres |
—
|
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: approximately 39,000 metres | Statement: [Felix Baumgartner, freefallAltitude, approximately 39,000 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freefallAltitude Context triple: [Felix Baumgartner, freefallAltitude, approximately 39,000 metres]
-
A.
freeFallTimeFromTop
Indicates the duration an object would spend falling freely from the top point to a lower reference point under gravity, ignoring other forces.
-
B.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
-
C.
releaseAltitude
chosen
Indicates the altitude at which something is released, such as an object, payload, or substance.
-
D.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
E.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6504c5e1c8190903e5c4aeac37a30 |
completed | May 2, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:42 a.m.