Triple
T7602861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck mass |
E180027
|
entity |
| Predicate | usesConstantSymbol |
P9148
|
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: [Planck mass, usesConstantSymbol, ħ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesConstantSymbol Context triple: [Planck mass, usesConstantSymbol, ħ]
-
A.
usesConstant
chosen
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
B.
symbolForConstant
Indicates that one entity serves as the symbolic representation or notation used to denote a particular constant.
-
C.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
-
D.
symbolicallyUses
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
-
E.
isSameSymbolAs
Indicates that two entities represent the identical symbol or sign, regardless of their specific instances or contexts.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fa633081909660f653f5b073cd |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.