Triple
T15730810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant General (United States Space Force) |
E381339
|
entity |
| Predicate | typicalCommandScope |
P6856
|
FINISHED |
| Object | field command |
—
|
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: field command | Statement: [Lieutenant General (United States Space Force), typicalCommandScope, field command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCommandScope Context triple: [Lieutenant General (United States Space Force), typicalCommandScope, field command]
-
A.
commandScope
chosen
Indicates that one entity defines or limits the range, context, or extent within which another entity’s command or control is valid or applicable.
-
B.
typicalCommandLevel
Indicates the usual or standard level of authority or access at which a command is intended to be executed.
-
C.
typicalCommands
Indicates that the associated entity commonly issues or uses the specified commands as part of its normal or expected behavior.
-
D.
typicalScope
Indicates the usual or expected range, extent, or domain within which something normally applies, operates, or is relevant.
-
E.
typicallyCommandsSize
Indicates that one entity normally determines or specifies the size or magnitude of another entity.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.