Triple
T8013694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Processing Techniques Office |
E186557
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | ARPA office |
C18934
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: ARPA office Context triple: [Information Processing Techniques Office, instanceOf, ARPA office]
-
A.
U.S. Army research laboratory
The U.S. Army Research Laboratory is the Army’s primary scientific and engineering research organization, conducting foundational and applied research to develop advanced technologies that enhance the capabilities, effectiveness, and protection of U.S. soldiers.
-
B.
defense research agency
chosen
A defense research agency is an organization that conducts scientific and technological research to develop advanced capabilities, systems, and knowledge in support of national security and military objectives.
-
C.
naval research laboratory
A naval research laboratory is a specialized scientific and engineering institution dedicated to developing, testing, and evaluating technologies and systems to support and advance a nation's maritime and naval capabilities.
-
D.
U.S. Army laboratory
A U.S. Army laboratory is a specialized military research and development facility that conducts scientific, engineering, and technical work to support and enhance the capabilities, readiness, and safety of Army forces.
-
E.
NASA office
A NASA office is a workspace within the NASA organization where administrative, scientific, engineering, and mission-planning activities are coordinated and managed.
- F. None of above.
Provenance (1 batch)
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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:19 p.m.