Triple
T29201969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turdus olivater |
E740301
|
entity |
| Predicate | hasSympatricGenus |
P168131
|
FINISHED |
| Object | Turdus |
—
|
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: Turdus | Statement: [Turdus olivater, hasSympatricGenus, Turdus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSympatricGenus Context triple: [Turdus olivater, hasSympatricGenus, Turdus]
-
A.
hasNamesakeGenus
Indicates that one entity serves as the namesake for a biological genus named after it.
-
B.
hasExtantGenus
Indicates that a taxonomic group currently includes at least one genus that is still living (not extinct).
-
C.
hasSynapomorphy
Indicates that two or more taxa share a derived character state inherited from their most recent common ancestor, distinguishing that clade from others.
-
D.
hasEndemicSubspecies
Indicates that a species has one or more subspecies that are native and restricted to a particular geographic area.
-
E.
hasHybridSpecies
Indicates that one entity is a hybrid species that results from the combination or crossbreeding of another entity (or entities).
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 12:07 p.m.