Triple
T23000239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DataCite metadata schema |
E572613
|
entity |
| Predicate | maintainedBy |
P86
|
FINISHED |
| Object | DataCite |
—
|
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: DataCite | Statement: [DataCite metadata schema, maintainedBy, DataCite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataCite Context triple: [DataCite metadata schema, maintainedBy, DataCite]
-
A.
DataCite
chosen
DataCite is a global non-profit organization that provides persistent identifiers (DOIs) and related services to help the research community reliably identify, share, and cite research data and other research outputs.
-
B.
DataCite metadata schema
The DataCite metadata schema is a widely used standard for describing research datasets and other scholarly outputs to support citation, discovery, and persistent identification.
-
C.
Publons
Publons is an online platform that helps researchers track, verify, and showcase their peer review and editorial contributions for academic journals.
-
D.
BibDesk
BibDesk is a macOS reference management application designed to help users organize and cite bibliographic data, especially for LaTeX documents.
-
E.
ePIC Persistent Identifier Consortium
The ePIC Persistent Identifier Consortium is an international collaboration that provides and promotes persistent identifier services to support long-term access to digital research data and resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18352bcf48190bd474eff69b3465b |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.