Triple
T16748529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CiteScore |
E407015
|
entity |
| Predicate | providerPlatform |
P1292
|
FINISHED |
| Object | Scopus Preview |
E16219
|
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: Scopus Preview | Statement: [CiteScore, providerPlatform, Scopus Preview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scopus Preview Context triple: [CiteScore, providerPlatform, Scopus Preview]
-
A.
Scopus
chosen
Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
-
B.
Semantic Scholar
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
-
C.
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.
-
D.
ScienceDirect
ScienceDirect is a leading full-text scientific database providing access to a large collection of peer-reviewed journals and books across numerous disciplines.
-
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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2532ac81908e5ee5148e35f92e |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.