Triple
T6859175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Law of Distribution of Energy in the Normal Spectrum |
E158227
|
entity |
| Predicate | introducedConstantSymbol |
P57926
|
FINISHED |
| Object | h |
—
|
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: h | Statement: [On the Law of Distribution of Energy in the Normal Spectrum, introducedConstantSymbol, h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedConstantSymbol Context triple: [On the Law of Distribution of Energy in the Normal Spectrum, introducedConstantSymbol, h]
-
A.
symbolForConstant
chosen
Indicates that one entity serves as the symbolic representation or notation used to denote a particular constant.
-
B.
usesConstant
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
C.
classIntroduced
Indicates that a particular class (e.g., in a programming language or system) has been newly defined or made available within a given context or scope.
-
D.
introducedConcept
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
-
E.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.