Triple
T13527527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | double-slit experiment |
E323049
|
entity |
| Predicate | firstDemonstratedWithElectronsInYear |
P69085
|
FINISHED |
| Object | 1961 |
—
|
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: 1961 | Statement: [double-slit experiment, firstDemonstratedWithElectronsInYear, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDemonstratedWithElectronsInYear Context triple: [double-slit experiment, firstDemonstratedWithElectronsInYear, 1961]
-
A.
wereFirstRealizedExperimentallyInYear
chosen
Indicates the year in which something was first successfully demonstrated or confirmed through experimental observation or testing.
-
B.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
-
C.
firstMajorUseYear
Indicates the calendar year in which something was first put into major or primary use.
-
D.
firstPrototypeYear
Indicates the year in which the first prototype of an entity was created or completed.
-
E.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.