Triple
T32278891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chlorophytum |
E824634
|
entity |
| Predicate | airPurifyingReputation |
P88639
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chlorophytum, airPurifyingReputation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airPurifyingReputation Context triple: [Chlorophytum, airPurifyingReputation, yes]
-
A.
airPurifying
chosen
Indicates that an entity removes or reduces pollutants or contaminants from the air in its surroundings.
-
B.
homeAtmosphereReputation
Indicates the perceived quality or character of the atmosphere or environment associated with a particular home.
-
C.
manufacturerReputation
Indicates the perceived reliability, quality, and trustworthiness associated with a product’s manufacturer.
-
D.
hasCleanlinessLevel
Indicates the degree or state of cleanliness associated with an entity.
-
E.
carpetReputation
Indicates how an entity is regarded or evaluated specifically in relation to carpets, such as their quality, reliability, or status in the carpet domain.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc6cf58819092e006e741a628bb |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.