Triple
T13318934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publons |
E317263
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Clarivate Analytics |
E80475
|
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: Clarivate Analytics | Statement: [Publons, operator, Clarivate Analytics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarivate Analytics Context triple: [Publons, operator, Clarivate Analytics]
-
A.
Clarivate Analytics
chosen
Clarivate Analytics is a global analytics company specializing in providing research, citation, patent, and intellectual property data and tools for academia, corporations, and governments.
-
B.
Web of Science
Web of Science is a major multidisciplinary citation indexing and abstracting database widely used for academic research and bibliometric analysis.
-
C.
Scopus
Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
-
D.
SCImago Research Group
SCImago Research Group is an academic research organization best known for creating bibliometric indicators and journal rankings that analyze and visualize scientific output and impact worldwide.
-
E.
SciVal
SciVal is an Elsevier analytics platform that provides research performance metrics and benchmarking tools for institutions, researchers, and policymakers.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74612bab88190bf1a895b87be12c1 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:29 p.m.