Triple
T8756985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cronquist system |
E208094
|
entity |
| Predicate | numberOfMonocotSubclasses |
P85215
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Cronquist system, numberOfMonocotSubclasses, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMonocotSubclasses Context triple: [Cronquist system, numberOfMonocotSubclasses, 5]
-
A.
isMonocot
Indicates that an organism belongs to the group of flowering plants characterized by having a single cotyledon (seed leaf) in the embryo.
-
B.
isGrassSubfamily
Indicates that one entity is a botanical subfamily within the grass family (Poaceae) to which the other entity belongs.
-
C.
rankAmongLargestPlantFamilies
Indicates that a plant family is considered to be among the largest plant families in terms of the number of species it contains.
-
D.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
-
E.
hasSucculentMembers
Indicates that a group or category includes one or more members that are succulents.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddabdc88190ba50ef1833a815d0 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:40 p.m.