Triple
T3048937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Aso |
E83520
|
entity |
| Predicate | hasCone |
P45334
|
FINISHED |
| Object |
Nekodake
Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
|
E337122
|
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: Nekodake | Statement: [Mount Aso, hasCone, Nekodake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nekodake Context triple: [Mount Aso, hasCone, Nekodake]
-
A.
Naknek
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
B.
Rusutsu
Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
-
C.
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.
-
D.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
-
E.
Ikoma
Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
- 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: Nekodake Triple: [Mount Aso, hasCone, Nekodake]
Generated description
Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nekodake Target entity description: Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
-
A.
Naknek
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
B.
Rusutsu
Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
-
C.
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.
-
D.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
-
E.
Ikoma
Ikoma is a city in Japan known for its scenic setting on the slopes of Mount Ikoma and its role as a residential and commuter hub near Osaka and Nara.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9e13f16c81909e11ed1444c71151 |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261e211c0819094ef28112bcad250 |
completed | March 12, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_69b2627a27f08190a802b74b126f0e81 |
completed | March 12, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b264cbe2a48190baad7f335cdc37ba |
completed | March 12, 2026, 7:01 a.m. |
Created at: March 8, 2026, 3:01 p.m.