Triple
T28495553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australosphenida |
E721097
|
entity |
| Predicate | hasTaxonomicUncertainty |
P93566
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Australosphenida, hasTaxonomicUncertainty, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaxonomicUncertainty Context triple: [Australosphenida, hasTaxonomicUncertainty, yes]
-
A.
taxonomicUncertainty
Indicates uncertainty or doubt about the correct taxonomic identification or classification of an entity in relation to another.
-
B.
hasUncertainIdentification
chosen
Indicates that the identification or classification of an entity in the relationship is doubtful, ambiguous, or not fully confirmed.
-
C.
taxonomicStatus
Indicates the formal classification status of a taxon within a taxonomic system, such as whether it is accepted, synonymized, provisional, or invalid.
-
D.
hasTaxonomicRankBelow
Indicates that one taxonomic rank is hierarchically lower (more specific) than another within a classification system.
-
E.
hasTaxonomicRankAbove
Indicates that one taxonomic rank is hierarchically higher (more inclusive) than another in a classification system.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 3:03 a.m.