Triple
T5852006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hachiōji |
E130056
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Mount Takao |
E478236
|
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: Mount Takao | Statement: [Hachiōji, hasLandmark, Mount Takao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Takao Context triple: [Hachiōji, hasLandmark, Mount Takao]
-
A.
Mount Takao
chosen
Mount Takao is a popular, easily accessible mountain near Tokyo known for its scenic hiking trails, temples, and seasonal foliage.
-
B.
Mount Myogi
Mount Myogi is a rugged, scenic mountain in Japan’s Gunma Prefecture, famed for its dramatic rock formations, hiking routes, and status as one of the country’s most beautiful mountains.
-
C.
Mount Tsukuba
Mount Tsukuba is a famous double-peaked mountain in Japan known for its scenic views, religious significance, and popular hiking trails.
-
D.
Mount Mitake
Mount Mitake is a popular sacred mountain in Tokyo’s Okutama region, known for its ancient Shinto shrine, hiking trails, and scenic views within the Chichibu-Tama-Kai National Park.
-
E.
Mount Hakkoda
Mount Hakkoda is a volcanic mountain complex in northern Honshu, Japan, known for its heavy snowfall, scenic hiking, and tragic 1902 military snowstorm disaster.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0355038008190bf38980349b533e2 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e8061008190bab55d4f7cf38d04 |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:55 p.m.