Triple
T11213192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōgō |
E265360
|
entity |
| Predicate | isDifferentFrom |
P1612
|
FINISHED |
| Object | Kōgō-kōtaigō |
E265360
|
NE 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: Kōgō-kōtaigō | Statement: [Kōgō, isDifferentFrom, Kōgō-kōtaigō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kōgō-kōtaigō Context triple: [Kōgō, isDifferentFrom, Kōgō-kōtaigō]
-
A.
Kōtaishi
Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
-
B.
Kōgō
chosen
Kōgō is the Japanese term used to refer to the empress consort of Japan.
-
C.
Tatsugō
Tatsugō is a small town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical climate and island scenery.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Saigō-no-Tsubone
Saigō-no-Tsubone was a prominent Japanese noblewoman and concubine of Tokugawa Ieyasu who became an influential figure in the early Edo period through her role in the Tokugawa shogunate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d7f47c8190b78c640ff1a01943 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e497569efc8190b8e9cb6b1db3f94d |
completed | April 19, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.