Triple
T2958744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journal Citation Reports |
E79994
|
entity |
| Predicate | usesCitationWindow |
P45209
|
FINISHED |
| Object | two-year citation window for Journal Impact Factor |
—
|
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: two-year citation window for Journal Impact Factor | Statement: [Journal Citation Reports, usesCitationWindow, two-year citation window for Journal Impact Factor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCitationWindow Context triple: [Journal Citation Reports, usesCitationWindow, two-year citation window for Journal Impact Factor]
-
A.
usesCitation
Indicates that one entity supports or references its content by citing another entity as a source.
-
B.
hasCitationForm
Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
-
C.
hasFullCitation
Indicates that an entity is associated with a complete and properly formatted bibliographic reference.
-
D.
citations
Indicates that one entity references another as a source of information, evidence, or authority, typically in a scholarly or informational context.
-
E.
uscCitation
Indicates that one legal authority cites or references a provision of the United States Code (U.S.C.).
- F. None of above. chosen
Provenance (4 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992c4c7c819084b5bef299255181 |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.