Triple
T38646338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aerococcus |
E938725
|
entity |
| Predicate | clinicallyRelevantSpecies |
P95276
|
FINISHED |
| Object | Aerococcus urinae |
—
|
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: Aerococcus urinae | Statement: [Aerococcus, clinicallyRelevantSpecies, Aerococcus urinae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clinicallyRelevantSpecies Context triple: [Aerococcus, clinicallyRelevantSpecies, Aerococcus urinae]
-
A.
hostSpecies
Indicates the species that serves as the host for another organism, agent, or entity.
-
B.
hasScientificSpecies
chosen
Indicates that an entity is associated with a specific scientific (Latin) species name.
-
C.
studentSpecies
Indicates that one entity is a student whose biological species is identified by the other entity.
-
D.
rearsSpecies
Indicates that one entity raises, breeds, or cultivates individuals belonging to a particular species.
-
E.
speciesType
Indicates the specific biological species category to which an entity belongs.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:32 p.m.