Triple
T8914346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanospiza |
E212259
|
entity |
| Predicate | genusAuthorityYear |
P77574
|
FINISHED |
| Object | 1877 |
—
|
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: 1877 | Statement: [Melanospiza, genusAuthorityYear, 1877]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genusAuthorityYear Context triple: [Melanospiza, genusAuthorityYear, 1877]
-
A.
yearOfTaxonName
chosen
Indicates the specific year in which a particular taxon name was formally established or published.
-
B.
taxonomicAuthority
Indicates the entity that formally described, named, or classified another entity in a taxonomic context.
-
C.
commonNameOfGenus
Indicates that the object is a commonly used name referring to the genus specified by the subject.
-
D.
hasGenus
Indicates that one entity belongs to, or is classified under, the biological genus represented by the other entity.
-
E.
genusIncludes
Indicates that a particular genus contains or encompasses the specified subordinate taxonomic entities (such as species or subspecies).
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660e620c8190b02b9843c8f02bfa |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.