Triple
T5458737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-20 Dyna-Soar |
E122542
|
entity |
| Predicate | selectionOfPilots |
P31058
|
FINISHED |
| Object | U.S. Air Force test pilots |
—
|
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: U.S. Air Force test pilots | Statement: [X-20 Dyna-Soar, selectionOfPilots, U.S. Air Force test pilots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionOfPilots Context triple: [X-20 Dyna-Soar, selectionOfPilots, U.S. Air Force test pilots]
-
A.
numberOfPilotsInDisplay
Indicates the total count of pilots participating in a particular display or demonstration event.
-
B.
teamSelection
chosen
Indicates the assignment or choice of one or more individuals or entities to be part of a specific team.
-
C.
hasPilot
Indicates that an entity is operated or controlled by a specific pilot.
-
D.
notablePilot
Indicates that an entity is a distinguished or noteworthy pilot associated with another entity (such as a vehicle, event, or organization).
-
E.
isNotedByPilotsAs
Indicates that something is recognized, remarked upon, or specifically mentioned by pilots.
- 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_69bd46424248819085282ddf50a565f3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.