Triple
T27678317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papasula abbotti |
E697838
|
entity |
| Predicate | monotypicGenus |
P158207
|
FINISHED |
| Object | Papasula |
—
|
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: Papasula | Statement: [Papasula abbotti, monotypicGenus, Papasula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monotypicGenus Context triple: [Papasula abbotti, monotypicGenus, Papasula]
-
A.
monotypicTaxon
chosen
Indicates that a taxonomic group contains only a single subordinate taxon (e.g., a genus with only one species).
-
B.
monogeneric
Indicates that a taxonomic group (such as a family or subfamily) contains only a single genus.
-
C.
isOnlyGenusIn
Indicates that a genus is the sole genus contained within a specified higher-level taxonomic group or context.
-
D.
namedAfterTypeGenus
Indicates that an entity (such as a taxonomic group) is named after its type genus.
-
E.
nomenclaturalTypeGenus
Indicates that one genus serves as the nomenclatural (name-bearing) type for a higher-ranked taxon, anchoring the application and definition of that taxon's name.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63535773c81908f37b61311643359 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:45 p.m.