Triple
T22813584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Υ(4S) |
E565043
|
entity |
| Predicate | hasQuantumNumbers |
P23057
|
FINISHED |
| Object | I^G(J^{PC}) = 0^-(1^{--}) |
—
|
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: I^G(J^{PC}) = 0^-(1^{--}) | Statement: [Υ(4S), hasQuantumNumbers, I^G(J^{PC}) = 0^-(1^{--})]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuantumNumbers
Context triple: [Υ(4S), hasQuantumNumbers, I^G(J^{PC}) = 0^-(1^{--})]
-
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.
hasQuantumField
Indicates that an entity possesses, is associated with, or is characterized by a specific quantum field in a physical or theoretical context.
-
C.
focusOnQuantumNumbers
Indicates that an entity directs attention, study, or discussion specifically toward quantum numbers or their properties.
-
D.
isQuantumOf
Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
-
E.
hasElectricChargeQuantization
Indicates that the electric charge of an entity can only take on discrete, quantized values rather than varying continuously.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d61c6f081908d3911710b3aff51 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.