Triple
T8519706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway rat |
E201664
|
entity |
| Predicate | primaryUseInResearch |
P24615
|
FINISHED |
| Object | biomedical research |
—
|
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: biomedical research | Statement: [Norway rat, primaryUseInResearch, biomedical research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryUseInResearch Context triple: [Norway rat, primaryUseInResearch, biomedical research]
-
A.
hasResearchUse
chosen
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
-
B.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
C.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
D.
mediumOfResearch
Indicates that a particular medium (such as a journal, conference, or platform) is the channel through which a research work is published, communicated, or made available.
-
E.
primaryResearchLibraryFor
Indicates that one entity serves as the main or principal research library resource for another 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe627de908190b463da0f26da4ffb |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.