Triple
T19590337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict's reagent |
E470213
|
entity |
| Predicate | semiQuantitativeFor |
P20230
|
FINISHED |
| Object | approximate concentration of reducing sugars |
—
|
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: approximate concentration of reducing sugars | Statement: [Benedict's reagent, semiQuantitativeFor, approximate concentration of reducing sugars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semiQuantitativeFor Context triple: [Benedict's reagent, semiQuantitativeFor, approximate concentration of reducing sugars]
-
A.
quantifies
Indicates that one entity expresses or specifies the amount, number, or degree of another entity.
-
B.
quantificationType
chosen
Indicates the specific kind or category of quantity or measurement being applied in a given context.
-
C.
usesQuantification
Indicates that one entity employs or applies a system of quantification (such as numerical or measurable assessment) to another entity or context.
-
D.
secondaryMetric
Indicates that one metric serves as an additional, supporting measure used alongside a primary metric for evaluation or analysis.
-
E.
secondaryStrength
Indicates a secondary or supporting level of strength or influence that complements a primary one in the relationship between entities.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640552db48190b34555e4b72a75c4 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.