Triple
T7574333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EndNote |
E179323
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | EndNote online |
E179323
|
NE 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: EndNote online | Statement: [EndNote, hasComponent, EndNote online]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EndNote online Context triple: [EndNote, hasComponent, EndNote online]
-
A.
EndNote
chosen
EndNote is a reference management software tool used by researchers and students to organize bibliographies, manage citations, and streamline the writing and publishing process.
-
B.
RefWorks
RefWorks is a web-based reference management tool that helps researchers collect, organize, and format citations and bibliographies in various academic styles.
-
C.
Crossref
Crossref is a nonprofit organization that provides persistent digital identifiers and metadata services for scholarly content to support reliable citation linking and research discovery.
-
D.
BibTeX
BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
-
E.
EBSCOhost
EBSCOhost is an online research platform that provides access to a wide range of academic databases, journals, and other scholarly resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f948e1e08190ad807292365a0c27 |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861673ae48190b86e8023fd02771c |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:51 p.m.