Triple
T26765597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ξ*− (dss) |
E674927
|
entity |
| Predicate | containsValenceQuarks |
P23054
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Ξ*− (dss), containsValenceQuarks, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsValenceQuarks Context triple: [Ξ*− (dss), containsValenceQuarks, three]
-
A.
hasValenceQuarks
chosen
Indicates that one entity possesses the specified quarks as its constituent valence quarks.
-
B.
hasQuarkFlavors
Indicates that an entity (such as a particle) possesses specific types (flavors) of quarks as its constituents.
-
C.
quarkModel
Indicates that one entity represents or employs a quark-based theoretical model to describe the internal structure or behavior of another entity (such as a particle or system).
-
D.
hasAntiquark
Indicates that one particle is associated with, or contains, a corresponding antiquark as part of its composition or structure.
-
E.
hasUpQuarkCount
Indicates the relationship specifying how many up quarks are associated with a given 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_69eecda85298819097ee1c38a3d772e7 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 3:59 a.m.