Triple
T22737486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrhenius acid |
E562313
|
entity |
| Predicate | increasesConcentrationOf |
P24558
|
FINISHED |
| Object | hydrogen ions in aqueous solution |
—
|
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: hydrogen ions in aqueous solution | Statement: [Arrhenius acid, increasesConcentrationOf, hydrogen ions in aqueous solution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increasesConcentrationOf Context triple: [Arrhenius acid, increasesConcentrationOf, hydrogen ions in aqueous solution]
-
A.
concentration
Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
-
B.
hasConcentration
Indicates that one entity possesses or exhibits a specific level, strength, or density of another substance, property, or attribute.
-
C.
increasesProductionOf
chosen
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
D.
concentrationParameterAffects
Indicates that a change in a concentration parameter has an influence or impact on another variable, condition, or outcome.
-
E.
concentrationVariant
Indicates that one entity represents a version or form of another that differs specifically in concentration level.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179707fd081909aed9b2f62b9f842 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:22 p.m.