Triple
T15716192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoba-class cruiser |
E380965
|
entity |
| Predicate | originOfName |
P453
|
FINISHED |
| Object | Mount Aoba |
—
|
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: Mount Aoba | Statement: [Aoba-class cruiser, originOfName, Mount Aoba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Aoba Context triple: [Aoba-class cruiser, originOfName, Mount Aoba]
-
A.
Mount Aoba
chosen
Mount Aoba is a Japanese volcano whose name has been used for various ships and locations, reflecting its cultural and geographical significance in Japan.
-
B.
Mount Rokko
Mount Rokko is a prominent mountain range near Kobe, Japan, known for its panoramic night views, hiking trails, and recreational facilities.
-
C.
Mount Furutaka
Mount Furutaka is a mountain in Japan notable enough to have lent its name to the Imperial Japanese Navy cruiser Furutaka.
-
D.
Mount Ōmine
Mount Ōmine is a sacred mountain in Japan’s Nara Prefecture, renowned as a major center of Shugendō mountain asceticism and a UNESCO World Heritage pilgrimage site.
-
E.
Mount Otokoyama
Mount Otokoyama is a low, wooded hill in Yawata, Kyoto Prefecture, known as a sacred site and scenic viewpoint overlooking the Yodo River area.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
Created at: April 10, 2026, 4:45 a.m.