Triple
T7601220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Army Armor Branch |
E179986
|
entity |
| Predicate | enlistedCareerManagementField |
P9319
|
FINISHED |
| Object | 19 series |
—
|
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: 19 series | Statement: [United States Army Armor Branch, enlistedCareerManagementField, 19 series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enlistedCareerManagementField Context triple: [United States Army Armor Branch, enlistedCareerManagementField, 19 series]
-
A.
hasEnlistedCareerManagementField
chosen
Indicates that an entity is associated with a specific enlisted career management field, typically defining its role or specialization within an enlisted personnel structure.
-
B.
militaryRankEligibility
Indicates that one entity is qualified or permitted to hold, attain, or be considered for a specified military rank.
-
C.
militaryBranchEligibility
Indicates that an entity meets the required conditions to serve in a specified branch of the military.
-
D.
enlistedIn
Indicates that an individual has formally joined and is serving in a particular military or service organization.
-
E.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d9c55c8190841f3bf3225c096a |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.