Triple
T38561079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francisella tularensis |
E928076
|
entity |
| Predicate | mostVirulentSubspecies |
P25252
|
FINISHED |
| Object | Francisella tularensis subsp. tularensis |
—
|
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: Francisella tularensis subsp. tularensis | Statement: [Francisella tularensis, mostVirulentSubspecies, Francisella tularensis subsp. tularensis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostVirulentSubspecies Context triple: [Francisella tularensis, mostVirulentSubspecies, Francisella tularensis subsp. tularensis]
-
A.
virusSubtype
Indicates the specific subtype classification of a virus within a broader virus type or strain.
-
B.
mostNumerousSubspeciesOf
Indicates that one subspecies has the largest population size compared to all other subspecies within the same parent species.
-
C.
deadliestFor
Indicates that one entity causes the greatest number of deaths or is most lethal specifically with respect to another entity or group.
-
D.
subspeciesOf
Indicates that one taxonomic group is a subspecific rank within, and directly derived from, another species.
-
E.
virulence
chosen
Indicates the degree to which a pathogen or harmful agent is capable of causing damage, disease, or severe effects in its host.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.