Triple
T35924307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jussieua |
E1038976
|
entity |
| Predicate | hasGenusEpithet |
P195615
|
FINISHED |
| Object | Jussieua |
—
|
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: Jussieua | Statement: [Jussieua, hasGenusEpithet, Jussieua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenusEpithet Context triple: [Jussieua, hasGenusEpithet, Jussieua]
-
A.
hasGenusName
Indicates that an entity is associated with, or classified under, a particular biological genus name.
-
B.
hasGenus
Indicates that one entity belongs to, or is classified under, the biological genus represented by the other entity.
-
C.
hasEponymousTaxon
Indicates that an entity has a taxonomic group (such as a species or genus) that is named after it.
-
D.
hasExtantGenus
Indicates that a taxonomic group currently includes at least one genus that is still living (not extinct).
-
E.
commonNameOfGenus
Indicates that the object is a commonly used name referring to the genus specified by the subject.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69fddac42c4081908568649058e86458 |
completed | May 8, 2026, 12:44 p.m. |
Created at: May 3, 2026, 4:07 p.m.