Triple
T11392270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Fushimi-no-miya |
E269871
|
entity |
| Predicate | seeAlso |
P37
|
FINISHED |
| Object | ōke |
E470936
|
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: ōke | Statement: [House of Fushimi-no-miya, seeAlso, ōke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ōke Context triple: [House of Fushimi-no-miya, seeAlso, ōke]
-
A.
ōke
chosen
ōke are collateral branches of the Japanese imperial family, traditionally formed by princes and their descendants who are not in the direct line of succession.
-
B.
Раикоке
Раикоке — это небольшой активный вулканический остров в группе Курильских островов на Дальнем Востоке России.
-
C.
Ohakune
Ohakune is a small New Zealand town on the North Island known as a gateway to Mount Ruapehu and the Tongariro National Park, as well as for its ski tourism and carrot farming.
-
D.
Keikyū
Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
-
E.
Taihape
Taihape is a small rural town in New Zealand’s North Island, known historically as a service centre for the surrounding farming district and for its quirky association with "gumboot" culture.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
Created at: April 8, 2026, 9:34 p.m.