Triple
T21157578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finland–United States relations |
E521350
|
entity |
| Predicate | hasKeyIssueArea |
P19540
|
FINISHED |
| Object | Arctic policy |
—
|
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: Arctic policy | Statement: [Finland–United States relations, hasKeyIssueArea, Arctic policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyIssueArea Context triple: [Finland–United States relations, hasKeyIssueArea, Arctic policy]
-
A.
hasKeyIssue
Indicates that an entity is associated with a primary or central problem, concern, or topic of importance.
-
B.
isKeyIssueFor
Indicates that something is a primary or central concern, problem, or topic of importance for a particular entity, context, or situation.
-
C.
hasIssueWith
Indicates that one entity experiences a problem, conflict, or concern related to another entity.
-
D.
keyIssueArea
chosen
Indicates that something is a primary topic, domain, or field that is central or especially important within a broader context or discussion.
-
E.
hadKeyIssue
Indicates that an entity experienced a primary or critical problem related to a key aspect, factor, or component.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252dc3f0819094c6acf52a9f308d |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.