Triple
T11555028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potentilleae |
E273995
|
entity |
| Predicate | containsTaxaWithLifeForm |
P70351
|
FINISHED |
| Object | herbaceous perennials |
—
|
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: herbaceous perennials | Statement: [Potentilleae, containsTaxaWithLifeForm, herbaceous perennials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsTaxaWithLifeForm Context triple: [Potentilleae, containsTaxaWithLifeForm, herbaceous perennials]
-
A.
includesTaxaWith
Indicates that an entity contains or encompasses one or more specified taxa within its scope or membership.
-
B.
includesSpeciesWithLifestyle
chosen
Indicates that a group, habitat, or taxonomic unit contains one or more species characterized by a particular lifestyle or ecological way of living.
-
C.
containsSpeciesWithHabitat
Indicates that an entity includes one or more species that are associated with a particular habitat.
-
D.
containsDeciduousTaxa
Indicates that the subject group or area includes one or more taxa that are deciduous (shedding leaves seasonally).
-
E.
includesExampleTaxon
Indicates that a taxonomic group or concept contains a specific taxon used as an illustrative or representative example.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a86be308190973fea5d7db8ba9d |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.