Triple
T4021326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Scholar |
E91284
|
entity |
| Predicate | supportsCitationFormats |
P30925
|
FINISHED |
| Object | EndNote |
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 | Statement: [Google Scholar, supportsCitationFormats, EndNote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EndNote Context triple: [Google Scholar, supportsCitationFormats, EndNote]
-
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.
BibTeX
BibTeX is a tool and file format used with LaTeX to manage and format bibliographic references in scholarly documents.
-
C.
BCite
BCite is a legal citation and research service that competes with KeyCite by providing tools to track the history, treatment, and validity of legal authorities.
-
D.
natbib
natbib is a widely used LaTeX package that provides flexible citation and bibliography formatting, especially for author–year and numerical reference styles.
-
E.
InCites
InCites is a research analytics platform that provides citation-based metrics and benchmarking tools to evaluate institutional and researcher performance.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01994b0c8190b34af36acadad5c6 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c7fd474819097766194ca8d165d |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.