Triple
T9564435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck scale |
E230754
|
entity |
| Predicate | orderOfMagnitudeMass |
P26037
|
FINISHED |
| Object | 2.18e-8 kilogram |
—
|
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: 2.18e-8 kilogram | Statement: [Planck scale, orderOfMagnitudeMass, 2.18e-8 kilogram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfMagnitudeMass Context triple: [Planck scale, orderOfMagnitudeMass, 2.18e-8 kilogram]
-
A.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
B.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
C.
hasMass_kg
chosen
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
E.
dimensionOfMass
Indicates that something represents or specifies the mass dimension (i.e., the quantitative measure of mass) associated with an 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.