Triple
T18203596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aharonov–Casher effect |
E435850
|
entity |
| Predicate | hasExperimentalVerification |
P22964
|
FINISHED |
| Object | neutron interferometry experiments |
—
|
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: neutron interferometry experiments | Statement: [Aharonov–Casher effect, hasExperimentalVerification, neutron interferometry experiments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExperimentalVerification Context triple: [Aharonov–Casher effect, hasExperimentalVerification, neutron interferometry experiments]
-
A.
supportsExperiment
Indicates that one entity provides the necessary resources, conditions, or assistance for an experiment to be conducted or to function as intended.
-
B.
includesExperiment
Indicates that one entity contains or encompasses a specific experiment as part of its scope, composition, or content.
-
C.
hasExperimentalHall
Indicates that an entity possesses or includes an experimental hall as part of its facilities or structure.
-
D.
hasAttestation
chosen
Indicates that there exists a formal confirmation, evidence, or certification supporting the validity or authenticity of something.
-
E.
testedFor
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e221bbbc819088a7559a46b7d4e7 |
completed | April 19, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.