Triple
T23981469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bentham and Hooker system of plant classification |
E604518
|
entity |
| Predicate | criterionForGrouping |
P132536
|
FINISHED |
| Object | floral characters |
—
|
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: floral characters | Statement: [Bentham and Hooker system of plant classification, criterionForGrouping, floral characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criterionForGrouping Context triple: [Bentham and Hooker system of plant classification, criterionForGrouping, floral characters]
-
A.
groupingRule
chosen
Indicates a rule or criterion that defines how multiple entities are grouped or clustered together based on shared characteristics or conditions.
-
B.
groupingType
Indicates how multiple entities are categorized or clustered together based on a shared grouping criterion.
-
C.
criterionForClassA
Indicates that something serves as a defining condition or standard used to determine membership in or classification as Class A.
-
D.
groupedInto
Indicates that multiple entities are collected or organized together as members of a common group or category.
-
E.
compositionCriterion
Indicates the rule or standard by which components are selected, combined, or arranged to form a whole.
- 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_69e29543f40c819087700b7a272afb60 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2be350c8190a0f8937094f4a902 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:28 p.m.