Triple
T19066300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corey–Bakshi–Shibata reduction |
E466666
|
entity |
| Predicate | typicalCatalystLoading |
P134148
|
FINISHED |
| Object | 5–20 mol% |
—
|
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: 5–20 mol% | Statement: [Corey–Bakshi–Shibata reduction, typicalCatalystLoading, 5–20 mol%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCatalystLoading Context triple: [Corey–Bakshi–Shibata reduction, typicalCatalystLoading, 5–20 mol%]
-
A.
catalyst
Indicates that one entity facilitates or accelerates a process, reaction, or change involving another entity without itself being consumed or fundamentally altered.
-
B.
catalystRegenerated
Indicates that a catalyst, after facilitating a reaction, is restored to its original state and made available to participate in the reaction cycle again.
-
C.
hasCatalyst
Indicates that a process, reaction, or transformation occurs with the involvement of a specific catalyst that facilitates or accelerates it.
-
D.
typicalEngine
Indicates that an entity is the standard or commonly used engine for another entity (such as a vehicle, device, or system).
-
E.
typicalOxidant
Indicates that one entity commonly functions as an oxidizing agent in reactions involving the other entity.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e198621481908618f65dd01746fc |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:03 p.m.