Triple
T30611356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Dental Corps |
E779185
|
entity |
| Predicate | isDedicatedServiceBranch |
P29506
|
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: [Army Dental Corps, isDedicatedServiceBranch, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDedicatedServiceBranch Context triple: [Army Dental Corps, isDedicatedServiceBranch, true]
-
A.
isMilitaryStaffOf
Indicates that one entity serves as military personnel working for, or assigned to, another entity (such as an organization, unit, or individual).
-
B.
militaryBranchDomain
Indicates that one entity serves as the military branch or armed forces component associated with the domain, jurisdiction, or organizational scope of another entity.
-
C.
branchOfServiceModelledOn
Indicates that one branch of service is modeled, structured, or designed based on another branch of service.
-
D.
isMilitaryOffice
Indicates that an entity holds or is designated as a military office or official position within an armed forces structure.
-
E.
serviceBranchSpecific
chosen
Indicates that something is restricted or tailored to a particular branch of service rather than being common across all branches.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689e773ac81908b79eef4d4aae5cb |
completed | May 2, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:26 p.m.