Triple
T19590349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict's reagent |
E470213
|
entity |
| Predicate | alkalinityProvidedBy |
P136377
|
FINISHED |
| Object | sodium carbonate |
—
|
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: sodium carbonate | Statement: [Benedict's reagent, alkalinityProvidedBy, sodium carbonate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alkalinityProvidedBy Context triple: [Benedict's reagent, alkalinityProvidedBy, sodium carbonate]
-
A.
carbonateContent
Indicates the proportion or amount of carbonate present in a given material or sample.
-
B.
acidityLevel
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
-
C.
primarySaltBase
Indicates that one substance serves as the main salt-forming base component in relation to another substance.
-
D.
hasSalinityType
Indicates the type or category of salinity associated with an entity, such as its salinity level or classification.
-
E.
predominantOxidationStateInSolution
Indicates the oxidation state that a chemical species most commonly or primarily adopts when present in a given solution.
- 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.