Triple
T32854590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Roxburgh |
E840341
|
entity |
| Predicate | usedTaxonAuthorAbbreviation |
P33057
|
FINISHED |
| Object | Roxb. |
—
|
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: Roxb. | Statement: [William Roxburgh, usedTaxonAuthorAbbreviation, Roxb.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTaxonAuthorAbbreviation Context triple: [William Roxburgh, usedTaxonAuthorAbbreviation, Roxb.]
-
A.
taxonAbbreviation
Indicates that one taxonomic entity is associated with a standardized abbreviated form of its scientific name.
-
B.
taxonAuthorField
Indicates the relationship that specifies the author or authority who formally described or named a particular taxon.
-
C.
scientificNameAbbreviation
Indicates that one entity is an abbreviated or shortened form of the scientific name of another entity.
-
D.
authorAbbreviation
chosen
Indicates that one entity is the standardized abbreviated form of an author's name used in citations or references for another entity.
-
E.
taxonomicAuthority
Indicates the entity that formally described, named, or classified another entity in a taxonomic context.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 1:17 a.m.