Triple
T4244793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 赤城山 |
E95502
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | 黒檜山 |
E97477
|
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: 黒檜山 | Statement: [赤城山, hasHighestPoint, 黒檜山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 黒檜山 Context triple: [赤城山, hasHighestPoint, 黒檜山]
-
A.
Kurohime-yama
chosen
Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
-
B.
Mont Orohena
Mont Orohena is a volcanic mountain in French Polynesia and the tallest peak on the island of Tahiti.
-
C.
Tiger Mountain
Tiger Mountain is a major Bronx Zoo exhibit that showcases tigers in a naturalistic habitat while educating visitors about their behavior and conservation.
-
D.
Tiger Mountain
Tiger Mountain is a prominent forested peak and recreation area in the Issaquah Alps of western Washington, popular for hiking, paragliding, and outdoor activities near the Seattle metropolitan area.
-
E.
Shere Hills
Shere Hills is a prominent rocky highland and popular hiking and sightseeing destination located near Jos in Plateau State, Nigeria.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e8c42e88190b309a1ef7f6529ac |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a876a8dc8190b79d7a3d5eec5609 |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:05 p.m.