Triple
T13127952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A3 rocket |
E311891
|
entity |
| Predicate | numberOfTestFlights |
P10947
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [A3 rocket, numberOfTestFlights, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTestFlights Context triple: [A3 rocket, numberOfTestFlights, 4]
-
A.
numberOfFlights
Indicates the total count of flights associated with a given entity or within a specified context.
-
B.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
C.
numberOfTests
chosen
Indicates the quantity of tests associated with or performed in a given context or entity.
-
D.
plannedNumberOfTests
Indicates the total count of tests that are intended or scheduled to be conducted for a given context or period.
-
E.
testPilotOnFirstFlight
Indicates that the person served as the test pilot during the inaugural flight of an aircraft or aerospace vehicle.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:07 p.m.