Triple
T12734888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Nantai |
E304336
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object |
Nantai-san
Nantai-san is a sacred volcanic mountain in Japan’s Nikkō region, revered in Shinto tradition and known for its scenic hiking trails and religious significance.
|
E1015693
|
NE FINISHED |
How this triple was built (4 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: Nantai-san | Statement: [Mount Nantai, romanization, Nantai-san]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nantai-san Context triple: [Mount Nantai, romanization, Nantai-san]
-
A.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
-
B.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
-
C.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
D.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
-
E.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nantai-san Triple: [Mount Nantai, romanization, Nantai-san]
Generated description
Nantai-san is a sacred volcanic mountain in Japan’s Nikkō region, revered in Shinto tradition and known for its scenic hiking trails and religious significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nantai-san Target entity description: Nantai-san is a sacred volcanic mountain in Japan’s Nikkō region, revered in Shinto tradition and known for its scenic hiking trails and religious significance.
-
A.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
-
B.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
-
C.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
D.
Otomari
Otomari was a settlement in southern Sakhalin (then Karafuto) that served as a strategic Japanese military garrison area before and during World War II.
-
E.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
- F. None of above. chosen
Provenance (5 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646b3ca08190b239f0736a01169d |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0dd657c8190b69e8bf187034360 |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c2a1eaf48190b7905d997423235e |
completed | May 3, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 5:26 p.m.