Triple
T36562301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine National Guard |
E901872
|
entity |
| Predicate | isReservistComponentOf |
P186047
|
FINISHED |
| Object | United States Armed Forces |
E2934
|
NE 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: United States Armed Forces | Statement: [Maine National Guard, isReservistComponentOf, United States Armed Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isReservistComponentOf Context triple: [Maine National Guard, isReservistComponentOf, United States Armed Forces]
-
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.
isAboutMilitaryUnit
Indicates that something (such as a document, statement, or resource) concerns, discusses, or pertains to a specific military unit.
-
C.
stateMilitaryUnitOf
Indicates that a military unit is organized, controlled, or officially associated with a particular state or governmental jurisdiction.
-
D.
isNamedMilitaryUnit
Indicates that the subject is a military unit that has been given a specific official name.
-
E.
usesMilitaryUnit
Indicates that one entity employs, deploys, or otherwise makes operational use of a specific military unit.
- F. None of above. chosen
Provenance (5 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6f41f188190927892b7759a0efa |
completed | June 23, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.