Triple
T22176944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Toronto insulin research team |
E548073
|
entity |
| Predicate | usedSpecies |
P77976
|
FINISHED |
| Object | dogs |
—
|
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: dogs | Statement: [University of Toronto insulin research team, usedSpecies, dogs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSpecies Context triple: [University of Toronto insulin research team, usedSpecies, dogs]
-
A.
usedBySpecies
Indicates that something (such as an object, resource, or method) is utilized or employed by a particular species.
-
B.
someSpeciesAre
Indicates that at least one member of a specified group or category belongs to, or can be classified as, a particular species.
-
C.
studiedInSpecies
chosen
Indicates that a particular study, observation, or experiment was conducted using or within the specified species.
-
D.
containsSpeciesUsedAs
Indicates that something includes, as part of its composition or content, a particular species that is used for a specified purpose.
-
E.
studentSpecies
Indicates that one entity is a student whose biological species is identified by the other entity.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6d03488190b29872ff3f436237 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.