Triple
T7803623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fischer esterification |
E180491
|
entity |
| Predicate | typicalSolvent |
P79103
|
FINISHED |
| Object | alcohol reactant |
—
|
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: alcohol reactant | Statement: [Fischer esterification, typicalSolvent, alcohol reactant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSolvent Context triple: [Fischer esterification, typicalSolvent, alcohol reactant]
-
A.
canBeDissolvedWith
Indicates that one entity is capable of being dissolved or broken down when exposed to another specified substance or medium.
-
B.
typicalTincture
Indicates that something has the usual or standard tincture (coloring or hue) typically associated with it.
-
C.
substanceType
Indicates the specific kind or category of substance associated with an entity or relation.
-
D.
coolant
Indicates that one entity functions as a coolant for another, serving to absorb and remove heat from it.
-
E.
typicalFuel
Indicates the kind of fuel that is normally or most commonly used by an entity (such as a device, vehicle, or system).
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:34 p.m.