Triple
T19590320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict's reagent |
E470213
|
entity |
| Predicate | hasActiveSpecies |
P136375
|
FINISHED |
| Object | Cu2+ 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: Cu2+ ion | Statement: [Benedict's reagent, hasActiveSpecies, Cu2+ ion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasActiveSpecies Context triple: [Benedict's reagent, hasActiveSpecies, Cu2+ ion]
-
A.
hasLivingSpecies
Indicates that an entity currently contains, supports, or is associated with one or more species that are alive or extant.
-
B.
hasFlagshipSpecies
Indicates that one entity (typically a site, region, or conservation program) is associated with or represented by a particular flagship species used to promote awareness or protection.
-
C.
hasLivingSpecimens
Indicates that there currently exist one or more living examples or instances of the related entity.
-
D.
hasCommonSpecies
Indicates that two entities share at least one species in common.
-
E.
hasExhibitSpecies
Indicates that an exhibit or display includes or features a particular species.
- 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.