Triple
T22175235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Lights |
E548031
|
entity |
| Predicate | moreFrequentDuring |
P24572
|
FINISHED |
| Object | periods of high solar activity |
—
|
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: periods of high solar activity | Statement: [Northern Lights, moreFrequentDuring, periods of high solar activity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moreFrequentDuring Context triple: [Northern Lights, moreFrequentDuring, periods of high solar activity]
-
A.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
B.
frequentOccasion
Indicates that a particular event, situation, or condition occurs repeatedly or commonly over time.
-
C.
moreCommonAs
Indicates that one thing occurs or is observed more frequently in a specified role, form, or context than in another.
-
D.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
E.
moreCommonIn
chosen
Indicates that something occurs with greater frequency or prevalence in one group, context, or location than in another.
- 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_69f12a6b755c81909e9bd2a588c065b3 |
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.