Triple
T15399555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byakue Kannon statue |
E368273
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Mount Kannonyama |
E799963
|
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 Kannonyama | Statement: [Byakue Kannon statue, locatedOn, Mount Kannonyama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Kannonyama Context triple: [Byakue Kannon statue, locatedOn, Mount Kannonyama]
-
A.
Mount Kinugasa
Mount Kinugasa is a Japanese mountain whose name was notably given to the Imperial Japanese Navy cruiser Kinugasa.
-
B.
Mount Tsurumi
Mount Tsurumi is a volcanic mountain in Ōita Prefecture, Japan, known for its panoramic views, seasonal foliage, and ropeway access from the hot spring resort city of Beppu.
-
C.
Mount Otokoyama
chosen
Mount Otokoyama is a low, wooded hill in Yawata, Kyoto Prefecture, known as a sacred site and scenic viewpoint overlooking the Yodo River area.
-
D.
Mount Hiuchi
Mount Hiuchi is a prominent peak in Japan’s Kubiki Mountains, renowned for its alpine scenery, seasonal wildflowers, and popularity among hikers.
-
E.
Mount Okura
Mount Okura is a hill in Sapporo, Japan, best known for its large ski jumping stadium and panoramic views over the city.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014819dfbc8190b39a10647f9ba64c |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 3:19 a.m.