Triple
T31019780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stridex |
E790420
|
entity |
| Predicate | typicalActiveConcentration |
P60326
|
FINISHED |
| Object | low-percentage salicylic acid |
—
|
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: low-percentage salicylic acid | Statement: [Stridex, typicalActiveConcentration, low-percentage salicylic acid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalActiveConcentration Context triple: [Stridex, typicalActiveConcentration, low-percentage salicylic acid]
-
A.
commonConcentration
Indicates that multiple entities share the same concentration level of a specified substance or component.
-
B.
concentration
Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
-
C.
concentrationParameterAffects
Indicates that a change in a concentration parameter has an influence or impact on another variable, condition, or outcome.
-
D.
concentrationComponent
Indicates that one entity is a constituent or ingredient whose amount contributes to the overall concentration of another entity (such as a mixture, solution, or sample).
-
E.
concentrationClass
chosen
Indicates the classification of an entity based on the level or range of its concentration.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:58 p.m.