Triple
T23902568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakata model of hadrons |
E601092
|
entity |
| Predicate | fundamentalBaryonSet |
P154023
|
FINISHED |
| Object | p, n, Λ |
—
|
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: p, n, Λ | Statement: [Sakata model of hadrons, fundamentalBaryonSet, p, n, Λ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundamentalBaryonSet Context triple: [Sakata model of hadrons, fundamentalBaryonSet, p, n, Λ]
-
A.
baryonNumber
Indicates that a specified baryon number (a conserved quantum number related to the count of baryons minus antibaryons) is assigned to or associated with an entity or interaction.
-
B.
hasBaryonNumber
Indicates that an entity possesses a specific baryon number, quantifying its net content of baryonic matter (baryons minus antibaryons).
-
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.
hasValenceQuarks
Indicates that one entity possesses the specified quarks as its constituent valence quarks.
-
E.
isFundamental
Indicates that something is a basic, essential, or foundational element upon which other things depend or are built.
- F. None of above. chosen
Provenance (4 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddf46948190b8625811725fe41d |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:26 p.m.