Triple
T22178275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nature Reviews Molecular Cell Biology |
E548101
|
entity |
| Predicate | impactFactorStatus |
P13420
|
FINISHED |
| Object | high-impact |
—
|
LITERAL 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: high-impact | Statement: [Nature Reviews Molecular Cell Biology, impactFactorStatus, high-impact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactFactorStatus Context triple: [Nature Reviews Molecular Cell Biology, impactFactorStatus, high-impact]
-
A.
hasImpactFactor
Indicates that one entity (typically a publication or journal) possesses a specific impact factor value reflecting its citation influence.
-
B.
hasCitationImpact
chosen
Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
-
C.
issnStatus
Indicates the current validity or publication status associated with a specific ISSN (e.g., active, ceased, or pending).
-
D.
initialPublicationStatus
Indicates the publication state an item was in at the time it was first released or made publicly available.
-
E.
isPioneeringScientificJournal
Indicates that a scientific journal is among the first or most innovative in introducing new research areas, methods, or ideas within its field.
- F. None of above.
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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6dd5a081908035e81c068d8d5a |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.