Triple
T2958687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Science Citation Index |
E79993
|
entity |
| Predicate | hasMetricDerivedFromData |
P28836
|
FINISHED |
| Object | 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: Journal Impact Factor | Statement: [Science Citation Index, hasMetricDerivedFromData, Journal Impact Factor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetricDerivedFromData Context triple: [Science Citation Index, hasMetricDerivedFromData, Journal Impact Factor]
-
A.
hasMetricType
Indicates that something is associated with or characterized by a specific type or category of metric.
-
B.
hasMeter
Indicates that one entity possesses, uses, or is associated with a specific meter (a measuring device or metrical pattern).
-
C.
measurementDependsOn
chosen
Indicates that one measurement is derived from, influenced by, or requires another measurement in order to be defined or computed.
-
D.
hasLongTermDatasetSince
Indicates that an entity has maintained or used a particular dataset continuously starting from a specified point in time.
-
E.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
- 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_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. |
Created at: March 8, 2026, 2:57 p.m.