Triple
T11639697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gateway to the Arctic |
E276626
|
entity |
| Predicate | relatedPhenomenon |
P99311
|
FINISHED |
| Object | midnight sun |
—
|
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: midnight sun | Statement: [Gateway to the Arctic, relatedPhenomenon, midnight sun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedPhenomenon Context triple: [Gateway to the Arctic, relatedPhenomenon, midnight sun]
-
A.
affectsPhenomenon
chosen
Indicates that one phenomenon produces an influence or change on another phenomenon.
-
B.
relatedBelief
Indicates that one belief is connected to, derived from, or otherwise associated with another belief in some meaningful way.
-
C.
moreCloselyRelatedTo
Indicates that one entity has a stronger or closer relationship, connection, or similarity to a second entity than to some other reference entity.
-
D.
relatedReaction
Indicates that one reaction is connected or associated with another reaction in some relevant way.
-
E.
relatedMetric
Indicates that one metric has a defined relationship or dependency with another metric.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.