Triple
T7230036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Broglie wavelength formula |
E154877
|
entity |
| Predicate | notableParameter |
P75902
|
FINISHED |
| Object | particle mass |
—
|
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: particle mass | Statement: [de Broglie wavelength formula, notableParameter, particle mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableParameter Context triple: [de Broglie wavelength formula, notableParameter, particle mass]
-
A.
notableKey
Indicates that the referenced key is of particular importance or prominence compared to other keys in the same context.
-
B.
notableField
Indicates the field, discipline, or area of activity for which an entity is especially known or distinguished.
-
C.
notableElement
Indicates that an entity has a component, feature, or part that is especially significant, prominent, or noteworthy in relation to it.
-
D.
notablePass
Indicates that one entity is recognized for having successfully passed or cleared another entity, such as a test, threshold, or evaluation, in a notably significant way.
-
E.
notableMode
Indicates that the subject is recognized for or distinguished by the specified mode, manner, or method of operation or expression.
- F. None of above. chosen
Provenance (4 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6ea539f5c81908001524149903559 |
completed | March 27, 2026, 8:36 p.m. |
Created at: March 27, 2026, 2:54 p.m.