Triple
T14991088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Ring |
E373835
|
entity |
| Predicate | particleTypeAccelerated |
P3639
|
FINISHED |
| Object | protons |
—
|
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: protons | Statement: [Main Ring, particleTypeAccelerated, protons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: particleTypeAccelerated Context triple: [Main Ring, particleTypeAccelerated, protons]
-
A.
beamParticle
Indicates that one entity directs or projects another entity as a beam-like stream or focused flow.
-
B.
usedParticle
Indicates that one entity employs or applies a particular particle (e.g., subatomic, linguistic, or material) in some process, context, or construction involving another entity.
-
C.
involvesParticleEjection
Indicates that the action or process includes the emission or release of particles from a source.
-
D.
accelerates
Indicates that one entity causes an increase in the speed or rate of change of another entity or process.
-
E.
hasParticleType
chosen
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.