Triple
T22757797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ame-no-Oshihomimi |
E562896
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Takamimusubi |
—
|
NE NERFINISHED |
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: Takamimusubi | Statement: [Ame-no-Oshihomimi, father, Takamimusubi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takamimusubi Context triple: [Ame-no-Oshihomimi, father, Takamimusubi]
-
A.
Takami-Musubi
chosen
Takami-Musubi is a primordial Shinto creator deity revered as one of the high heavenly gods who helped shape the cosmos in Japanese mythology.
-
B.
Meitoku
Meitoku was a Japanese era name (nengō) used during the late 14th century in the Muromachi period under the rule of shogun Ashikaga Yoshimitsu.
-
C.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
-
D.
Tsumago
Tsumago is a well-preserved former post town on Japan’s historic Nakasendō route, known for its traditional wooden buildings and Edo-period atmosphere.
-
E.
Tsukumi
Tsukumi is a coastal city in Japan known for its cement industry and location along the Bungo Channel in Ōita Prefecture on Kyushu Island.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a798ae08190b9810bf241613198 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.