Triple
T19590358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict's reagent |
E470213
|
entity |
| Predicate | containsIon |
P118640
|
FINISHED |
| Object | carbonate ion |
—
|
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: carbonate ion | Statement: [Benedict's reagent, containsIon, carbonate ion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsIon Context triple: [Benedict's reagent, containsIon, carbonate ion]
-
A.
hasAnion
chosen
Indicates that one entity possesses, contains, or is associated with another entity functioning as its anion (negatively charged ion).
-
B.
hasCation
Indicates that something contains, is associated with, or involves a positively charged ion (cation) in its composition or structure.
-
C.
commonIon
Indicates that two substances share at least one identical ion in solution, linking them through the common ion effect.
-
D.
usesIonType
Indicates that one entity employs or operates using a specific type of ion in its function or process.
-
E.
ionizes
Indicates that one entity causes another entity to gain or lose electrons, thereby converting it into an ion.
- 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.