Triple
T30415459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Positive Electron |
E773740
|
entity |
| Predicate | inferredMassOfParticle |
P7301
|
FINISHED |
| Object | approximately equal to electron mass |
—
|
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: approximately equal to electron mass | Statement: [The Positive Electron, inferredMassOfParticle, approximately equal to electron mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferredMassOfParticle Context triple: [The Positive Electron, inferredMassOfParticle, approximately equal to electron mass]
-
A.
massUncertainty
Indicates that there is a quantified degree of uncertainty or imprecision associated with the mass value of an entity or system.
-
B.
approximateMass
chosen
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
C.
hasMassNumber
Indicates that an atomic nucleus or isotope is associated with a specific mass number, representing the total count of protons and neutrons it contains.
-
D.
obtainsMassVia
Indicates that an entity acquires its mass through a specified process, mechanism, or interaction.
-
E.
massParameter
Indicates a relationship where a specific mass value is assigned to or characterizes an entity as a parameter in a model or system.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6864986008190a550cf740ff6f511 |
completed | May 2, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:05 p.m.