Triple
T16301734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shōnai Domain |
E395805
|
entity |
| Predicate | statusAfterAbolition |
P38217
|
FINISHED |
| Object | part of Yamagata Prefecture |
—
|
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: part of Yamagata Prefecture | Statement: [Shōnai Domain, statusAfterAbolition, part of Yamagata Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfterAbolition Context triple: [Shōnai Domain, statusAfterAbolition, part of Yamagata Prefecture]
-
A.
abolishedAfter
Indicates that one entity was abolished at a later time than another entity was abolished.
-
B.
legislatureTypeAfterAbolition
Indicates the type or form of legislature that existed after a previous legislative body was abolished.
-
C.
titleAbolishedBy
Indicates that a particular title or rank was formally eliminated or discontinued by a specified authority, event, or legal act.
-
D.
wasAbolishedBy
Indicates that an institution, practice, law, or entity ceased to exist or operate as a result of an action taken by another entity.
-
E.
afterAbolitionPartOf
chosen
Indicates that one entity became a constituent or component of another entity after the abolition or dissolution of a prior structure, system, or organization.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e32da7081908d8bd320374a5731 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.