Triple
T13221276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okhotsk Subprefecture |
E314757
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Monbetsu
Monbetsu is a coastal city in northern Hokkaido, Japan, known for its drift ice in the Sea of Okhotsk and its fishing and maritime industries.
|
E1275024
|
NE FINISHED |
How this triple was built (4 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: Monbetsu | Statement: [Okhotsk Subprefecture, containsCity, Monbetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monbetsu Context triple: [Okhotsk Subprefecture, containsCity, Monbetsu]
-
A.
Semboku
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
-
B.
Yurihonjō
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
-
C.
Kameyama
Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
-
D.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
E.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Monbetsu Triple: [Okhotsk Subprefecture, containsCity, Monbetsu]
Generated description
Monbetsu is a coastal city in northern Hokkaido, Japan, known for its drift ice in the Sea of Okhotsk and its fishing and maritime industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monbetsu Target entity description: Monbetsu is a coastal city in northern Hokkaido, Japan, known for its drift ice in the Sea of Okhotsk and its fishing and maritime industries.
-
A.
Semboku
Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
-
B.
Yurihonjō
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
-
C.
Kameyama
Kameyama is a city in Mie Prefecture, Japan, known historically as a post town on the Tōkaidō and for its preserved castle ruins and traditional streetscapes.
-
D.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
E.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
- F. None of above. chosen
Provenance (5 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_6a01d27210b4819099aed53a2820591a |
completed | May 11, 2026, 12:58 p.m. |
| NEDg | Description generation | batch_6a01d30961788190881f78d1989bd4ae |
completed | May 11, 2026, 1 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d65ce2a48190a78e58b643de699a |
completed | May 11, 2026, 1:15 p.m. |
Created at: April 9, 2026, 9:18 p.m.