Triple
T10947183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuji-Hakone-Izu National Park |
E258626
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Izu |
E999933
|
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: Izu | Statement: [Fuji-Hakone-Izu National Park, namedAfter, Izu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izu Context triple: [Fuji-Hakone-Izu National Park, namedAfter, Izu]
-
A.
Izu
chosen
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
-
B.
Izumiotsu
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
C.
Izumi
Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
-
D.
Irai
Irai is a small commune in northern France, located within the Eure department in the Normandy region.
-
E.
Ikizu
The Ikizu are an ethnic group native to northwestern Tanzania, traditionally inhabiting areas within the Kagera Region.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770eaaea08190b06e508600d8a305 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684c471b88190a4c79d907152b492 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:23 p.m.