Triple
T4844229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | black-footed ferret recovery program |
E108250
|
entity |
| Predicate | focusesOnSpeciesScientificName |
P7733
|
FINISHED |
| Object | Mustela nigripes |
—
|
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: Mustela nigripes | Statement: [black-footed ferret recovery program, focusesOnSpeciesScientificName, Mustela nigripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnSpeciesScientificName Context triple: [black-footed ferret recovery program, focusesOnSpeciesScientificName, Mustela nigripes]
-
A.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
B.
featuresSpecies
chosen
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
C.
scientificName
Indicates the formal taxonomic name assigned to an organism according to scientific naming conventions.
-
D.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
E.
commonNameOfNotableSpecies
Indicates that the subject is a commonly used vernacular or everyday name for a notable or well-known biological species.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.