Triple
T16370716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-51A Waverider |
E397555
|
entity |
| Predicate | designSpeedClass |
P9902
|
FINISHED |
| Object | hypersonic |
—
|
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: hypersonic | Statement: [X-51A Waverider, designSpeedClass, hypersonic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designSpeedClass Context triple: [X-51A Waverider, designSpeedClass, hypersonic]
-
A.
speedClass
chosen
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
B.
designedServiceSpeed
Indicates the intended or specified operational speed at which a service is designed to function.
-
C.
trackDesigner
Indicates that one entity is the designer or creator responsible for the layout or structure of a track associated with another entity.
-
D.
speedAtDerailmentApprox
Indicates the approximate speed an entity was traveling at the moment it derailed.
-
E.
speedClassOfTrains
Indicates the classification of trains based on their operating speed or speed category.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff414d808190beae2ff162e430f8 |
completed | April 18, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.