Triple
T9128740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fractofusus |
E219028
|
entity |
| Predicate | taxonomicUncertainty |
P87257
|
FINISHED |
| Object | phylogenetic affinity to modern groups unresolved |
—
|
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: phylogenetic affinity to modern groups unresolved | Statement: [Fractofusus, taxonomicUncertainty, phylogenetic affinity to modern groups unresolved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxonomicUncertainty Context triple: [Fractofusus, taxonomicUncertainty, phylogenetic affinity to modern groups unresolved]
-
A.
taxonomicStatus
Indicates the formal classification status of a taxon within a taxonomic system, such as whether it is accepted, synonymized, provisional, or invalid.
-
B.
taxonCircumscription
Indicates the taxonomic scope or boundary within which a particular taxon is defined or delimited in a classification.
-
C.
usedTaxonomicSystem
Indicates that a particular taxonomic classification system was applied or followed when organizing or identifying the entities involved.
-
D.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
E.
taxonomicHistory
Indicates the historical sequence of taxonomic classifications or changes that an entity has undergone over time.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cc85b081908ee80db0e3b7df15 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:18 p.m.