Triple
T14187026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzuki coupling |
E351603
|
entity |
| Predicate | mechanisticStep |
P37805
|
FINISHED |
| Object | oxidative addition |
—
|
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: oxidative addition | Statement: [Suzuki coupling, mechanisticStep, oxidative addition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mechanisticStep Context triple: [Suzuki coupling, mechanisticStep, oxidative addition]
-
A.
formationMechanism
Indicates the process or mechanism by which something is formed, created, or brought into existence.
-
B.
mechanismExample
Indicates that one entity serves as an illustrative example of the mechanism or process by which another entity operates or produces an effect.
-
C.
keyStep
chosen
Indicates a crucial or essential step within a larger process, sequence, or procedure.
-
D.
stepType
Indicates the specific kind or category of step an entity represents within a process or sequence.
-
E.
stepTakes
Indicates that one step directly follows or is taken after another step in a process or sequence.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:03 a.m.