Triple
T16744600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Yōtei |
E406918
|
entity |
| Predicate | hasNickName |
P39
|
FINISHED |
| Object |
Ezo Fuji
Ezo Fuji is a stratovolcano in Hokkaido, Japan, renowned for its symmetrical, Mount Fuji-like shape.
|
E1232739
|
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: Ezo Fuji | Statement: [Mount Yōtei, hasNickName, Ezo Fuji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezo Fuji Context triple: [Mount Yōtei, hasNickName, Ezo Fuji]
-
A.
Sasaima
Sasaima is a small town and municipality in the Gualivá Province of the Cundinamarca Department in central Colombia, known for its warm climate and agricultural production.
-
B.
Otachi
Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
-
C.
Fujiidera
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
-
D.
Warabi
Warabi is a small, densely populated city in Japan’s Saitama Prefecture, known for its convenient access to central Tokyo and residential character.
-
E.
Eifuku
Eifuku is a neighborhood in Suginami, Tokyo, Japan, known primarily as the area served by Eifukuchō Station.
- 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: Ezo Fuji Triple: [Mount Yōtei, hasNickName, Ezo Fuji]
Generated description
Ezo Fuji is a stratovolcano in Hokkaido, Japan, renowned for its symmetrical, Mount Fuji-like shape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ezo Fuji Target entity description: Ezo Fuji is a stratovolcano in Hokkaido, Japan, renowned for its symmetrical, Mount Fuji-like shape.
-
A.
Sasaima
Sasaima is a small town and municipality in the Gualivá Province of the Cundinamarca Department in central Colombia, known for its warm climate and agricultural production.
-
B.
Otachi
Otachi is a massive Category IV kaiju from the film "Pacific Rim," known for its powerful tail, acidic spit, and ability to fly during its battle against the Jaeger Gipsy Danger.
-
C.
Fujiidera
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
-
D.
Warabi
Warabi is a small, densely populated city in Japan’s Saitama Prefecture, known for its convenient access to central Tokyo and residential character.
-
E.
Eifuku
Eifuku is a neighborhood in Suginami, Tokyo, Japan, known primarily as the area served by Eifukuchō Station.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa210ef88190be74bd60d7144953 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51e69c08190a5bff74823df430c |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a782502c819086c07dbcfc1b46eb |
completed | May 10, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a7e3725c81909afbf1abb4eb317b |
completed | May 10, 2026, 3:44 p.m. |
Created at: April 10, 2026, 5:21 a.m.