Triple
T1261859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU(2)_L |
E12518
|
entity |
| Predicate | associatedQuantumNumber |
P23057
|
FINISHED |
| Object | weak isospin |
—
|
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: weak isospin | Statement: [SU(2)_L, associatedQuantumNumber, weak isospin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedQuantumNumber Context triple: [SU(2)_L, associatedQuantumNumber, weak isospin]
-
A.
hasQuantumNumber
chosen
Indicates that an entity (such as a particle or state) is associated with a specific quantum number value characterizing one of its quantized properties.
-
B.
isQuantumOf
Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
-
C.
chargeConjugationEigenstate
Indicates that a particle or state is an eigenstate of the charge conjugation operator, meaning it transforms into itself up to a definite eigenvalue under charge conjugation.
-
D.
hasNeutronNumber
Indicates that an entity (typically an atom or nuclide) has a specified number of neutrons in its nucleus.
-
E.
hasAtomicNumber
Indicates that one entity is the chemical element whose atomic number (number of protons in its nucleus) is given by the other 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.