Triple
T7600630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | baryon decuplet |
E179972
|
entity |
| Predicate | hasQuarkContentPattern |
P37473
|
FINISHED |
| Object | uuu to sss combinations |
—
|
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: uuu to sss combinations | Statement: [baryon decuplet, hasQuarkContentPattern, uuu to sss combinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuarkContentPattern Context triple: [baryon decuplet, hasQuarkContentPattern, uuu to sss combinations]
-
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.
hasPattern
Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
-
D.
hasQuarkFlavors
chosen
Indicates that an entity (such as a particle) possesses specific types (flavors) of quarks as its constituents.
-
E.
hasContentFrom
Indicates that one entity’s content is derived from, includes, or is based on another 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d9c55c8190841f3bf3225c096a |
completed | March 27, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e2e42c8190afc802c4796c9cc2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:53 p.m.