Triple
T13221402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubeshibe |
E314761
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | city of Kitami |
E1058781
|
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: city of Kitami | Statement: [Rubeshibe, partOf, city of Kitami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Kitami Context triple: [Rubeshibe, partOf, city of Kitami]
-
A.
city of Kitami
chosen
The city of Kitami is a regional urban center in northeastern Hokkaido, Japan, known for its cold climate, agriculture, and role as a gateway to the surrounding plateau and natural areas.
-
B.
Aomori City
Aomori City is a northern Japanese port city known for its Nebuta Matsuri summer festival and as a transportation hub facing Mutsu Bay.
-
C.
Shiogama City
Shiogama City is a coastal city in northeastern Japan known for its historic Shinto shrine, fishing and seafood industry, and scenic harbor views.
-
D.
Natori City
Natori City is a coastal municipality in northeastern Japan known for its proximity to Sendai and its recovery efforts following the 2011 Tōhoku earthquake and tsunami.
-
E.
Nobeoka City
Nobeoka City is a coastal city in southeastern Kyushu, Japan, known for its chemical and electronics industries and scenic natural surroundings.
- 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_69f7b056ae388190803458d8fd0331e9 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:18 p.m.