Triple
T9660228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Western Range |
E233569
|
entity |
| Predicate | supportsTestType |
P89458
|
FINISHED |
| Object | operational test launches |
—
|
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: operational test launches | Statement: [U.S. Western Range, supportsTestType, operational test launches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsTestType Context triple: [U.S. Western Range, supportsTestType, operational test launches]
-
A.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
B.
supportsTargetType
Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
-
C.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
D.
supportsModelType
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
E.
supportsProjectType
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c08d0d0819086426ad6891b18db |
completed | April 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:14 p.m.