Triple
T6150277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Primate Center |
E137182
|
entity |
| Predicate | usesResearchSubjects |
P22069
|
FINISHED |
| Object | non-human primates |
—
|
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: non-human primates | Statement: [German Primate Center, usesResearchSubjects, non-human primates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesResearchSubjects Context triple: [German Primate Center, usesResearchSubjects, non-human primates]
-
A.
usesResearchSubject
chosen
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
B.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
C.
hasResearchUse
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
-
D.
hasSubjectOfStudy
Indicates that an entity (such as a person or organization) focuses on, researches, or specializes in a particular field or topic of study.
-
E.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce329648190a03ba0233df841fa |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.