Triple
T13221312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitami Plateau |
E314758
|
entity |
| Predicate | locatedInAdministrativeEntity |
P40
|
FINISHED |
| Object | Kitami |
E80174
|
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: Kitami | Statement: [Kitami Plateau, locatedInAdministrativeEntity, Kitami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitami Context triple: [Kitami Plateau, locatedInAdministrativeEntity, Kitami]
-
A.
Kitami
chosen
Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
-
B.
Kitakami
Kitakami is a city in northeastern Japan known for its scenic river valley, cherry blossoms, and role as a regional industrial and transportation hub.
-
C.
Yuzawa
Yuzawa is a Japanese city best known for its hot springs and ski resorts, making it a popular winter tourism destination.
-
D.
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.
-
E.
Towada
Towada is a city in northern Japan known for its proximity to Lake Towada and the scenic Oirase Gorge.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305a8c108190aff4e4797370f3d3 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:18 p.m.