Triple
T36401838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morton |
E896650
|
entity |
| Predicate | describedTaxonClass |
P194879
|
FINISHED |
| Object | Mammalia |
—
|
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: Mammalia | Statement: [Morton, describedTaxonClass, Mammalia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describedTaxonClass Context triple: [Morton, describedTaxonClass, Mammalia]
-
A.
describedTaxon
Indicates that an entity (such as a publication or description) formally describes or establishes the referenced taxon.
-
B.
taxonType
Indicates the biological or taxonomic rank/category that characterizes a given taxon.
-
C.
describedByTaxon
Indicates that something is characterized, defined, or otherwise described by a particular taxonomic concept or classification.
-
D.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
E.
describedTaxonOrder
Indicates that one entity has formally described, defined, or established the taxonomic order to which the other entity (a taxon) belongs.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: May 3, 2026, 4:10 p.m.