Triple
T1528235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European starling |
E32382
|
entity |
| Predicate | usedInResearch |
P24615
|
FINISHED |
| Object | model species for vocal learning |
—
|
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: model species for vocal learning | Statement: [European starling, usedInResearch, model species for vocal learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInResearch Context triple: [European starling, usedInResearch, model species for vocal learning]
-
A.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
B.
hasResearchUse
chosen
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
-
C.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
D.
usedInManuscripts
Indicates that something (such as a term, symbol, or feature) appears or is employed within one or more manuscripts.
-
E.
supportedResearch
Indicates that one entity provided assistance, resources, or backing to enable or advance the research activities of 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.