Triple
T36225690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora Aegyptiaco-Arabica |
E1047976
|
entity |
| Predicate | hasAbbreviationInBotany |
P30327
|
FINISHED |
| Object | Forssk. |
—
|
NE NERFINISHED |
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: Forssk. | Statement: [Flora Aegyptiaco-Arabica, hasAbbreviationInBotany, Forssk.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationInBotany Context triple: [Flora Aegyptiaco-Arabica, hasAbbreviationInBotany, Forssk.]
-
A.
recognizedInBotany
Indicates that an entity is acknowledged or accepted within the field of botany, typically as a valid concept, classification, or term.
-
B.
scientificNameAbbreviation
Indicates that one entity is an abbreviated or shortened form of the scientific name of another entity.
-
C.
botanicalAuthorAbbreviation
chosen
Indicates the standardized abbreviated form of a botanist’s name used to cite them as the author of a plant’s scientific name.
-
D.
taxonAbbreviation
Indicates that one taxonomic entity is associated with a standardized abbreviated form of its scientific name.
-
E.
standardFormInBotany
Indicates that something is expressed or recorded using the conventional, officially accepted format used in botanical nomenclature or documentation.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b59f00a08190b4a640552f794246 |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.