Triple
T2091481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck length |
E32679
|
entity |
| Predicate | orderOfMagnitude |
P1937
|
FINISHED |
| Object | 10⁻³⁵ metres |
—
|
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: 10⁻³⁵ metres | Statement: [Planck length, orderOfMagnitude, 10⁻³⁵ metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfMagnitude Context triple: [Planck length, orderOfMagnitude, 10⁻³⁵ metres]
-
A.
temperatureOrderOfMagnitude
Indicates that the temperatures of the related entities differ by approximately a specified order of magnitude (i.e., by a power-of-ten scale factor).
-
B.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
C.
magnitude
chosen
Indicates a relationship where a quantitative size, extent, or intensity is assigned to or compared between entities or values.
-
D.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
E.
apparentMagnitude
Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7626d081908c9c0f18942e128d |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.