Triple
T4537343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | uncertainty principle |
E107438
|
entity |
| Predicate | symbolForConstant |
P57926
|
FINISHED |
| Object | ħ |
—
|
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: ħ | Statement: [uncertainty principle, symbolForConstant, ħ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolForConstant Context triple: [uncertainty principle, symbolForConstant, ħ]
-
A.
symbolRoot
Indicates a relationship where one symbol serves as the root or base form from which another symbol is derived or structured.
-
B.
symbolReferenced
Indicates that one symbol is mentioned, cited, or otherwise referred to by another symbol.
-
C.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
D.
symbolForVelocity
Indicates that one entity is used as the symbolic representation or notation for the concept of velocity of another entity.
-
E.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57b78b8481909d79131723d4be22 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:04 p.m.