Triple
T7410227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps Artillery Detachment |
E170981
|
entity |
| Predicate | hasTrainingMission |
P3116
|
FINISHED |
| Object | train Marine Corps artillery personnel |
—
|
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: train Marine Corps artillery personnel | Statement: [Marine Corps Artillery Detachment, hasTrainingMission, train Marine Corps artillery personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingMission Context triple: [Marine Corps Artillery Detachment, hasTrainingMission, train Marine Corps artillery personnel]
-
A.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
B.
hasTrainingRole
Indicates that an entity holds or is assigned a specific role within a training or instructional context.
-
C.
hasMissionActivity
chosen
Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
-
D.
isTargetOfMission
Indicates that an entity is the intended objective or focus of a particular mission or operation.
-
E.
hasMissionSystem
Indicates that an entity is equipped with or associated with a specific mission-related system or subsystem.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29d77848190a6170eb25483224f |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.