Triple
T26765608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ξ*− (dss) |
E674927
|
entity |
| Predicate | hasQuarkContentDetail |
P78100
|
FINISHED |
| Object | one down quark and two strange 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: one down quark and two strange quarks | Statement: [Ξ*− (dss), hasQuarkContentDetail, one down quark and two strange quarks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuarkContentDetail Context triple: [Ξ*− (dss), hasQuarkContentDetail, one down quark and two strange 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.
quarkContent
chosen
Indicates the specific types and numbers of quarks that make up a given particle.
-
D.
hasChertContent
Indicates that an entity contains or is characterized by a certain amount or proportion of chert.
-
E.
hasQuarkFlavors
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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 3:59 a.m.