Triple
T3008749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Navy rear admiral |
E81963
|
entity |
| Predicate | typicalAssignment |
P12230
|
FINISHED |
| Object | high-level staff position |
—
|
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: high-level staff position | Statement: [United States Navy rear admiral, typicalAssignment, high-level staff position]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAssignment Context triple: [United States Navy rear admiral, typicalAssignment, high-level staff position]
-
A.
requiresAssignment
Indicates that one entity depends on another entity being assigned or allocated before it can proceed, function, or be considered valid.
-
B.
typicalStudentAssignment
Indicates that an assignment is a standard or commonly expected task given to a student in a particular educational context.
-
C.
assignedInStandard
Indicates that something is allocated or designated within a defined standard, specification, or normative framework.
-
D.
typicalIn
chosen
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
canBeAssignedTo
Indicates that one entity is eligible or permitted to be allocated, designated, or linked to another entity for a particular purpose or role.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ba6988190be29c00cd4266941 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.