Triple
T24613457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mōri clan |
E609181
|
entity |
| Predicate | titleInMeijiPeriod |
P156754
|
FINISHED |
| Object | duke (kōshaku) for main line |
—
|
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: duke (kōshaku) for main line | Statement: [Mōri clan, titleInMeijiPeriod, duke (kōshaku) for main line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInMeijiPeriod Context triple: [Mōri clan, titleInMeijiPeriod, duke (kōshaku) for main line]
-
A.
titleInJapan
Indicates that an entity has a specific title or name when released or used in Japan.
-
B.
titleInJapanese
Indicates that one entity is the title of another entity expressed specifically in the Japanese language.
-
C.
titleInKanji
Indicates that one entity is the title of another entity written specifically in Kanji characters.
-
D.
legalStatusInMeijiPeriod
Indicates the legal status or classification an entity held under the laws and regulations of Japan’s Meiji period.
-
E.
roleInMeijiRestoration
Indicates the specific part, function, or contribution an entity had in bringing about or shaping the Meiji Restoration.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:31 a.m.