Triple
T19590446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict's qualitative reagent for glucose |
E470215
|
entity |
| Predicate | carbonateRole |
P136380
|
FINISHED |
| Object | provides alkaline medium |
—
|
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: provides alkaline medium | Statement: [Benedict's qualitative reagent for glucose, carbonateRole, provides alkaline medium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carbonateRole Context triple: [Benedict's qualitative reagent for glucose, carbonateRole, provides alkaline medium]
-
A.
carbonRole
Indicates the functional role or involvement that an entity has in relation to carbon within a given process, system, or context.
-
B.
carbonateContent
Indicates the proportion or amount of carbonate present in a given material or sample.
-
C.
carbonStorageRole
Indicates the role or function an entity has in storing or sequestering carbon.
-
D.
geologicalRole
Indicates the functional or classificatory role an entity plays within geological processes, structures, or contexts.
-
E.
carbonation
Indicates that a substance, typically a beverage, has been infused with carbon dioxide gas, resulting in bubbles or fizziness.
- 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_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. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.