Triple
T16692460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orb-1 |
E405627
|
entity |
| Predicate | firstOfType |
P124267
|
FINISHED |
| Object | first operational Cygnus CRS mission |
—
|
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: first operational Cygnus CRS mission | Statement: [Orb-1, firstOfType, first operational Cygnus CRS mission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfType Context triple: [Orb-1, firstOfType, first operational Cygnus CRS mission]
-
A.
firstOf
Indicates that one entity is the earliest or initial member in an ordered sequence or collection relative to the others.
-
B.
firstPartType
Indicates that one entity is the initial segment or component type within a larger composite or sequence of parts.
-
C.
firstProductionType
Indicates the type or category of the initial production associated with an entity, such as its first manufacturing, creation, or release process.
-
D.
firstStageType
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
E.
firstAppearanceType
Indicates the type or category of context (e.g., medium, format, or work) in which an entity makes its first recorded appearance.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:19 a.m.