Triple
T16227006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōka |
E393875
|
entity |
| Predicate | bordersMunicipality |
P224
|
FINISHED |
| Object | Yamazoe |
E584422
|
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: Yamazoe | Statement: [Kōka, bordersMunicipality, Yamazoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamazoe Context triple: [Kōka, bordersMunicipality, Yamazoe]
-
A.
Yamazoe
chosen
Yamazoe is a rural village in Nara Prefecture, Japan, known for its mountainous terrain, forests, and traditional countryside landscapes.
-
B.
Takanami
Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
-
C.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
D.
Naoyoshi
Naoyoshi is a Japanese given name commonly used for males.
-
E.
Tadahiko
Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d26b02c819080b70ab7cc3bcc24 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b274fa3481908b019036cd2ae627 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:03 a.m.