Triple
T7722522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LC-39A |
E175047
|
entity |
| Predicate | firstUsedForSpaceX |
P78783
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [LC-39A, firstUsedForSpaceX, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedForSpaceX Context triple: [LC-39A, firstUsedForSpaceX, 2017]
-
A.
firstUseInOrbit
Indicates that this is the first time the object or system is being used while in orbit.
-
B.
firstSpaceflight
Indicates that the subject entity performed, experienced, or was responsible for its earliest occurrence of traveling into outer space.
-
C.
firstCrewedUSLaunchVehicle
Indicates that the subject is the first crewed launch vehicle used by the United States for sending humans into space.
-
D.
isFirstSpacecraftTo
Indicates that a spacecraft is the earliest or initial one to reach, visit, or achieve a specified destination or milestone.
-
E.
firstCommercialSpacecraftToReturnFromOrbit
Indicates that the subject is the first commercial spacecraft ever to successfully return to Earth from orbit.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7074eca4c8190bd51fd1b450729e8 |
completed | March 27, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69c7016a6cf88190b53bf4b958f0f302 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7074cd1f081908d5e8951660e7271 |
completed | March 27, 2026, 10:40 p.m. |
Created at: March 27, 2026, 4:05 p.m.