Triple
T12924851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O-1 |
E309216
|
entity |
| Predicate | commissionedOfficerGrade |
P44633
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [O-1, commissionedOfficerGrade, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionedOfficerGrade Context triple: [O-1, commissionedOfficerGrade, true]
-
A.
commissionedOfficerRank
chosen
Indicates that one entity holds a rank that qualifies them as a commissioned officer in a formal organizational hierarchy.
-
B.
nonCommissionedOfficer
Indicates that an individual holds a non-commissioned officer rank, signifying a leadership or supervisory role derived from enlisted status rather than a formal commission.
-
C.
officerCorps
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
-
D.
civilServiceRank
Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
-
E.
isMilitaryOrderGrade
Indicates that one entity is classified as a specific grade or level within a military order or honor system in relation to 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.