Triple
T16748511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CiteScore |
E407015
|
entity |
| Predicate | citationWindowLength |
P124488
|
FINISHED |
| Object | 4 years |
—
|
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: 4 years | Statement: [CiteScore, citationWindowLength, 4 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationWindowLength Context triple: [CiteScore, citationWindowLength, 4 years]
-
A.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
B.
citationRecord
Indicates that there exists a record documenting that one entity has cited or referenced another entity.
-
C.
citationType
Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
-
D.
citationOf
Indicates that one entity cites, references, or formally acknowledges another entity as a source.
-
E.
citationSignal
Indicates that one work cites another and specifies the rhetorical or functional role that the citation plays in the citing work.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2532ac81908e5ee5148e35f92e |
completed | April 18, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:21 a.m.