Triple
T32424061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Korea–Japan relations |
E828527
|
entity |
| Predicate | publicOpinionInJapan |
P198016
|
FINISHED |
| Object | strong concern over abductions |
—
|
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: strong concern over abductions | Statement: [North Korea–Japan relations, publicOpinionInJapan, strong concern over abductions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicOpinionInJapan Context triple: [North Korea–Japan relations, publicOpinionInJapan, strong concern over abductions]
-
A.
ratingJapan
Indicates that an entity assigns or holds a rating specifically related to Japan (e.g., its products, services, or overall experience).
-
B.
hasPoliticalOrientationInJapan
Indicates that an entity holds or is associated with a specific political orientation within the context of Japan.
-
C.
inJapaneseCulture
Indicates that something holds, appears, or is understood specifically within the context of Japanese culture.
-
D.
givesOpinionOn
Indicates that one entity expresses a view, judgment, or evaluation about another entity or subject.
-
E.
opinionBy
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
- F. None of above. chosen
Provenance (4 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
| PDg | Predicate description generation | batch_69fec25e3d708190be27135c57b189a5 |
completed | May 9, 2026, 5:13 a.m. |
Created at: May 1, 2026, 12:54 a.m.