Triple
T6544261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hachiman |
E168363
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ōmihachiman |
E310214
|
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: Ōmihachiman | Statement: [Mount Hachiman, locatedIn, Ōmihachiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōmihachiman Context triple: [Mount Hachiman, locatedIn, Ōmihachiman]
-
A.
Ōmihachiman
chosen
Ōmihachiman is a historic canal town in Japan known for its well-preserved traditional merchant district and scenic waterways, located in Shiga Prefecture near Lake Biwa.
-
B.
Shunpanrō
Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
-
C.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
D.
Yamatokoriyama
Yamatokoriyama is a Japanese city in Nara Prefecture known for its historic Koriyama Castle and traditional goldfish breeding industry.
-
E.
Marunouchi
Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6adece74c819095f3f800d5623ad2 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7880545c4819091979008c84b3325 |
completed | March 28, 2026, 7:49 a.m. |
Created at: March 27, 2026, 1:50 p.m.