Triple
T18815774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | neutron |
E460130
|
entity |
| Predicate | constituentQuarks |
P23054
|
FINISHED |
| Object | one up quark |
—
|
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 up quark | Statement: [neutron, constituentQuarks, one up quark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constituentQuarks Context triple: [neutron, constituentQuarks, one up quark]
-
A.
hasValenceQuarks
chosen
Indicates that one entity possesses the specified quarks as its constituent valence quarks.
-
B.
generationOfQuarks
Indicates the process or event in which quarks are produced or brought into existence, typically through high-energy interactions or transformations.
-
C.
hasQuarkFlavors
Indicates that an entity (such as a particle) possesses specific types (flavors) of quarks as its constituents.
-
D.
numberOfConstituents
Indicates the total count of individual components or members that make up a larger whole or group.
-
E.
constitutedBy
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.