Triple
T598182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bateson, 1885 |
E11432
|
entity |
| Predicate | taxonGroup |
P16820
|
FINISHED |
| Object | animals |
—
|
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: animals | Statement: [Bateson, 1885, taxonGroup, animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxonGroup Context triple: [Bateson, 1885, taxonGroup, animals]
-
A.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
-
B.
taxonomicStatus
Indicates the formal classification status of a taxon within a taxonomic system, such as whether it is accepted, synonymized, provisional, or invalid.
-
C.
affectsTaxon
Indicates that one entity has an impact or influence on a particular taxon or group of organisms.
-
D.
notableGenus
Indicates that one entity is a genus that is especially prominent, well-known, or significant in relation to the other entity.
-
E.
taxonRank
Indicates the formal hierarchical rank (such as species, genus, family, etc.) that a given taxon occupies within a biological classification system.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc4f7d08190990f70b9b3af6ce5 |
completed | March 1, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69a49cf59cd0819084e67981cb371e25 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49dc0e6a08190b81d82a6f2571c41 |
completed | March 1, 2026, 8:12 p.m. |
Created at: March 1, 2026, 7:35 p.m.