Triple
T6233004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockcroft–Walton experiment |
E139400
|
entity |
| Predicate | usedParticle |
P69656
|
FINISHED |
| Object | proton |
—
|
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: proton | Statement: [Cockcroft–Walton experiment, usedParticle, proton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedParticle Context triple: [Cockcroft–Walton experiment, usedParticle, proton]
-
A.
partUsed
Indicates that one entity is a component or part that is utilized in the construction, operation, or composition of another entity.
-
B.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
C.
usedComponent
Indicates that one entity has employed or incorporated another entity as a component in its structure, function, or operation.
-
D.
involvesParticleEjection
Indicates that the action or process includes the emission or release of particles from a source.
-
E.
partOfUse
Indicates that something functions as a component or constituent within the use or application of something else.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062efa25c8190a54f5a6f5b5ad24f |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05707d5408190a1d0fd80414ad957 |
completed | March 22, 2026, 8:54 p.m. |
Created at: March 22, 2026, 4:22 p.m.