Triple
T9564459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck scale |
E230754
|
entity |
| Predicate | approximatePlanckLengthValue |
P25800
|
FINISHED |
| Object | 1.616255e-35 meter |
—
|
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: 1.616255e-35 meter | Statement: [Planck scale, approximatePlanckLengthValue, 1.616255e-35 meter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximatePlanckLengthValue Context triple: [Planck scale, approximatePlanckLengthValue, 1.616255e-35 meter]
-
A.
symbolForPlanckConstant
Indicates that one entity is the symbolic representation used to denote the Planck constant associated with another entity.
-
B.
usesSymbolForReducedPlanckConstant
Indicates that an entity adopts a specific symbol to represent the reduced Planck constant (ħ) in its notation or context.
-
C.
naturalUnitsValue
Indicates that a quantity is expressed in natural units, specifying its value when fundamental physical constants are normalized (e.g., c = ħ = k_B = 1).
-
D.
approximateLengthInMeters
chosen
Indicates the estimated or roughly measured length of something expressed in meters.
-
E.
approximateValueAngstrom
Indicates that one entity specifies an estimated or approximate value, measured in angstroms, for another entity.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996a01b081908e2782f41520f73d |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.