Triple
T21989121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | neutral kaon system |
E543037
|
entity |
| Predicate | wasStudiedAt |
P770
|
FINISHED |
| Object | Brookhaven National Laboratory |
—
|
NE GENERATED |
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brookhaven National Laboratory Context triple: [neutral kaon system, wasStudiedAt, Brookhaven National Laboratory]
-
A.
Brookhaven National Laboratory
chosen
Brookhaven National Laboratory is a major U.S. Department of Energy research facility on Long Island known for its cutting-edge work in nuclear and particle physics, materials science, and energy research.
-
B.
Argonne National Laboratory
Argonne National Laboratory is a major U.S. Department of Energy research center near Chicago, renowned for pioneering work in nuclear energy and broad multidisciplinary science and engineering.
-
C.
Ames National Laboratory
Ames National Laboratory is a U.S. Department of Energy research facility in Iowa known for its pioneering work in materials science, chemistry, and energy-related technologies.
-
D.
Oak Ridge National Laboratory
Oak Ridge National Laboratory is a major U.S. Department of Energy research facility in Tennessee known for its pioneering work in nuclear science, energy technologies, and advanced materials.
-
E.
Fermi National Accelerator Laboratory
Fermi National Accelerator Laboratory is a leading U.S. Department of Energy particle physics research facility known for its high-energy accelerators and contributions to fundamental physics discoveries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 8:05 p.m.