Triple
T5766902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-short |
E127236
|
entity |
| Predicate | hasQuarkContentNotation |
P37473
|
FINISHED |
| Object | d s̄ |
—
|
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: d s̄ | Statement: [K-short, hasQuarkContentNotation, d s̄]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuarkContentNotation Context triple: [K-short, hasQuarkContentNotation, d s̄]
-
A.
hasTotalQuarkContent
Indicates that an entity (such as a particle or system) is associated with a specified total number or combination of quarks it contains.
-
B.
hasQuark
Indicates that one entity possesses, contains, or is composed of the other entity as a quark.
-
C.
hasObjectNotation
Indicates that an entity is represented or expressed using a specific object-based notation or symbolic format.
-
D.
hasContentFrom
Indicates that one entity’s content is derived from, includes, or is based on another entity.
-
E.
hasQuarkFlavors
chosen
Indicates that an entity (such as a particle) possesses specific types (flavors) of quarks as its constituents.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.