Triple
T13629493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kishimadake |
E325676
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Nekodake |
E337122
|
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: Nekodake | Statement: [Kishimadake, near, Nekodake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nekodake Context triple: [Kishimadake, near, Nekodake]
-
A.
Nekodake
chosen
Nekodake is one of the volcanic cones forming part of Japan’s active Mount Aso complex on Kyushu.
-
B.
Naknek
Naknek is a small fishing community in southwestern Alaska known for its salmon canning industry and location near Bristol Bay.
-
C.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
D.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
E.
Nakadori
Nakadori is the central inland region of Fukushima Prefecture in Japan, known for its transportation corridors, agriculture, and major cities such as Fukushima and Kōriyama.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9d803481908101def32817b0eb |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c8e7988190bcd338bdeba0ae60 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:51 p.m.