Triple
T21786989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongō mountain range |
E537863
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Yamato Plateau |
—
|
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: Yamato Plateau | Statement: [Kongō mountain range, near, Yamato Plateau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamato Plateau Context triple: [Kongō mountain range, near, Yamato Plateau]
-
A.
Yamato Plateau
chosen
Yamato Plateau is a highland region in Japan known as the historical heartland of early Japanese civilization and culture.
-
B.
Mikawa Plateau
Mikawa Plateau is a highland region in central Japan known for its rolling terrain, agriculture, and rural landscapes within Aichi Prefecture.
-
C.
Akiyoshidai plateau
Akiyoshidai plateau is Japan’s largest karst plateau, famed for its rolling grasslands dotted with limestone pinnacles and its extensive underground cave systems.
-
D.
Bandai Plateau
Bandai Plateau is a scenic highland area in Japan known for its volcanic landscapes, lakes, and hiking trails around Mount Bandai.
-
E.
Iori Plateau
Iori Plateau is a semi-arid upland region in eastern Georgia known for its steppe landscapes, biodiversity, and archaeological sites.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621c68588190977891055e80a499 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:52 p.m.