Triple
T1037809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starliner spacecraft |
E22403
|
entity |
| Predicate | firstUncrewedTestFlight |
P24224
|
FINISHED |
| Object | December 2019 |
—
|
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: December 2019 | Statement: [Starliner spacecraft, firstUncrewedTestFlight, December 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUncrewedTestFlight Context triple: [Starliner spacecraft, firstUncrewedTestFlight, December 2019]
-
A.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
B.
firstCrewedFlightDate
Indicates the calendar date on which an entity undertook its first flight carrying human crew.
-
C.
firstCrewedMission
Indicates that the mission is the first instance in which humans were onboard or directly participated as crew.
-
D.
firstFlybyBy
Indicates that one entity was the spacecraft, probe, or mission that performed the first flyby of another entity (such as a celestial body or target).
-
E.
firstSuccessfulFlybyBy
Indicates that the subject is the first spacecraft or mission to successfully perform a flyby of the object specified by the predicate’s value.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b97acbf4819087b92a8b29baef46 |
completed | March 1, 2026, 10:11 p.m. |
Created at: March 1, 2026, 7:41 p.m.