Triple
T4021275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SJR |
E91283
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Eigenfactor score |
E313370
|
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: Eigenfactor score | Statement: [SJR, relatedTo, Eigenfactor score]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eigenfactor score Context triple: [SJR, relatedTo, Eigenfactor score]
-
A.
Eigenfactor Score
chosen
Eigenfactor Score is a journal influence metric that estimates the importance of scholarly journals by considering the origin and frequency of citations in a network-based model.
-
B.
InCites
InCites is a research analytics platform that provides citation-based metrics and benchmarking tools to evaluate institutional and researcher performance.
-
C.
Science Citation Index
The Science Citation Index is a multidisciplinary citation database that tracks and indexes scientific journal articles to measure research impact and facilitate literature discovery.
-
D.
HITS algorithm
The HITS algorithm is a link analysis method that ranks web pages by separately evaluating their authority and hub scores based on the structure of hyperlinks.
-
E.
Clarivate Analytics
Clarivate Analytics is a global analytics company specializing in providing research, citation, patent, and intellectual property data and tools for academia, corporations, and governments.
- 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_69aefacb4c208190b8dd595a534850b2 |
completed | March 9, 2026, 4:52 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.