Triple
T401545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Model |
E9293
|
entity |
| Predicate | containsParticle |
P3639
|
FINISHED |
| Object | 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: up quark | Statement: [Standard Model, containsParticle, up quark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsParticle Context triple: [Standard Model, containsParticle, up quark]
-
A.
hasParticleType
chosen
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
-
B.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
D.
involvesParticleEjection
Indicates that the action or process includes the emission or release of particles from a source.
-
E.
involvesParticleTransfer
Indicates that the relationship or action includes the movement or exchange of discrete particles from one entity to another.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec9f77888190bcc2bc68d201ed35 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.