Triple
T9564432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck scale |
E230754
|
entity |
| Predicate | orderOfMagnitudeLength |
P25800
|
FINISHED |
| Object | 1.6e-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: 1.6e-35 meter | Statement: [Planck scale, orderOfMagnitudeLength, 1.6e-35 meter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfMagnitudeLength Context triple: [Planck scale, orderOfMagnitudeLength, 1.6e-35 meter]
-
A.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
B.
approximateLengthInMeters
chosen
Indicates the estimated or roughly measured length of something expressed in meters.
-
C.
orderOfMagnitudeInOurUniverse
Indicates that two quantities differ by a specified factor or scale level when measured within the physical laws and typical value ranges of our universe.
-
D.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
E.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
- 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.