Triple
T17151077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WRNMMC |
E416220
|
entity |
| Predicate | tertiaryMission |
P126310
|
FINISHED |
| Object | support medical education and training for military health professionals |
—
|
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: support medical education and training for military health professionals | Statement: [WRNMMC, tertiaryMission, support medical education and training for military health professionals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tertiaryMission Context triple: [WRNMMC, tertiaryMission, support medical education and training for military health professionals]
-
A.
laterPrimaryMission
Indicates that one mission occurs after another mission in the sequence of primary missions.
-
B.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
-
C.
primaryMissionTo
Indicates that an entity has a main or principal mission directed toward or focused on another entity.
-
D.
typeOfMission
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
-
E.
segmentMission
Indicates that a specific mission is associated with, assigned to, or carried out within a particular segment or phase.
- F. None of above. chosen
Provenance (4 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40775848190ada44742c0113ab3 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:36 a.m.