Triple
T11769133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crew Dragon |
E279851
|
entity |
| Predicate | designedForReuseCount |
P21235
|
FINISHED |
| Object | multiple flights per capsule |
—
|
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: multiple flights per capsule | Statement: [Crew Dragon, designedForReuseCount, multiple flights per capsule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForReuseCount Context triple: [Crew Dragon, designedForReuseCount, multiple flights per capsule]
-
A.
designedForReusability
chosen
Indicates that something has been intentionally created or configured so it can be used multiple times without needing to be discarded or fundamentally rebuilt.
-
B.
reusedIn
Indicates that something previously used in one context or instance is used again in another context or instance.
-
C.
notReusedFor
Indicates that something is not used again for a subsequent purpose, context, or instance.
-
D.
partiallyReusedAs
Indicates that one entity is used again as part of another entity, but only to a limited or incomplete extent rather than in its entirety.
-
E.
reusability
Indicates that an entity can be used multiple times or in multiple contexts without significant modification or degradation of function.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:41 p.m.