Triple
T23372027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 松輪島 |
E593499
|
entity |
| Predicate | 関連紛争 |
P140639
|
FINISHED |
| Object | 北方領土問題・クリル諸島をめぐる領有権問題の文脈で言及されることがある |
—
|
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: 北方領土問題・クリル諸島をめぐる領有権問題の文脈で言及されることがある | Statement: [松輪島, 関連紛争, 北方領土問題・クリル諸島をめぐる領有権問題の文脈で言及されることがある]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連紛争 Context triple: [松輪島, 関連紛争, 北方領土問題・クリル諸島をめぐる領有権問題の文脈で言及されることがある]
-
A.
関連事件
Indicates a relationship where one event is connected or related to another event, typically as part of the same case, incident, or context.
-
B.
関連戦争
Indicates a relationship where an entity is associated with, connected to, or involved in a particular war or military conflict.
-
C.
disputeInvolves
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
D.
relatedCase
Indicates that one legal case is connected or associated with another case, such as through shared facts, parties, issues, or procedural history.
-
E.
relateradKonflikt
chosen
Indicates that there is a related or associated conflict between the entities involved.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:32 p.m.