Triple
T15521984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nitrogen-13 |
E368990
|
entity |
| Predicate | producedByReaction |
P74478
|
FINISHED |
| Object | 16O(p,α)13N |
—
|
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: 16O(p,α)13N | Statement: [nitrogen-13, producedByReaction, 16O(p,α)13N]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedByReaction Context triple: [nitrogen-13, producedByReaction, 16O(p,α)13N]
-
A.
chemicalTypeProduced
Indicates that a process, reaction, or entity results in the production of a specific type or class of chemical.
-
B.
producedAs
chosen
Indicates that one entity is created, generated, or brought into existence as a result or output of another entity or process.
-
C.
fusionReactionExample
Indicates that one entity serves as an example or instance of a specific fusion reaction involving the other entity.
-
D.
reactant
Indicates that an entity participates as a starting material or input substance in a chemical or reactive process.
-
E.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0403543188190abac49d2b9decb89 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.