Triple
T26765602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ξ*− (dss) |
E674927
|
entity |
| Predicate | hasQuarkGenerationContent |
P37473
|
FINISHED |
| Object | first and second generation quarks |
—
|
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: first and second generation quarks | Statement: [Ξ*− (dss), hasQuarkGenerationContent, first and second generation quarks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuarkGenerationContent Context triple: [Ξ*− (dss), hasQuarkGenerationContent, first and second generation quarks]
-
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.
hasMatterContentPerGeneration
Indicates that one entity possesses a specified amount or type of matter content produced or associated with each generation of a process or system.
-
D.
hasQuarkFlavors
chosen
Indicates that an entity (such as a particle) possesses specific types (flavors) of quarks as its constituents.
-
E.
hasGenerationCode
Indicates that an entity is associated with a specific generation code that identifies its generational category or version.
- 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 3:59 a.m.