Triple
T1038966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force Master Chief Petty Officer |
E22426
|
entity |
| Predicate | typicalAssignmentLevel |
P11280
|
FINISHED |
| Object | type 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: type command | Statement: [Force Master Chief Petty Officer, typicalAssignmentLevel, type command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAssignmentLevel Context triple: [Force Master Chief Petty Officer, typicalAssignmentLevel, type command]
-
A.
typicalStudentAssignment
Indicates that an assignment is a standard or commonly expected task given to a student in a particular educational context.
-
B.
typicalCommandLevel
chosen
Indicates the usual or standard level of authority or access at which a command is intended to be executed.
-
C.
typicalDegree
Indicates the usual or characteristic level, intensity, or extent to which something holds or applies in a given context.
-
D.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
assignedInStandard
Indicates that something is allocated or designated within a defined standard, specification, or normative framework.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.