Triple
T8865536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minami-ku, Sapporo |
E211008
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object |
Ebetsu
Ebetsu is a city in Hokkaido, Japan, known as a suburban and educational hub east of Sapporo.
|
E762963
|
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: Ebetsu | Statement: [Minami-ku, Sapporo, hasBorderWith, Ebetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebetsu Context triple: [Minami-ku, Sapporo, hasBorderWith, Ebetsu]
-
A.
Takuu
Takuu is a remote Polynesian outlier atoll near Papua New Guinea, known for its distinct Polynesian culture and language isolated within Melanesia.
-
B.
Bilibino
Bilibino is a small town in Russia’s Far East best known for hosting one of the world’s northernmost nuclear power plants.
-
C.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
D.
Orawa
Orawa is a historical and ethnographic region in southern Poland known for its distinctive highland culture, folklore, and traditional wooden architecture.
-
E.
Belushya Guba
Belushya Guba is a small Russian settlement on the island of Novaya Zemlya in the Arctic, known primarily as a military and administrative hub for the archipelago.
- 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: Ebetsu Triple: [Minami-ku, Sapporo, hasBorderWith, Ebetsu]
Generated description
Ebetsu is a city in Hokkaido, Japan, known as a suburban and educational hub east of Sapporo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebetsu Target entity description: Ebetsu is a city in Hokkaido, Japan, known as a suburban and educational hub east of Sapporo.
-
A.
Takuu
Takuu is a remote Polynesian outlier atoll near Papua New Guinea, known for its distinct Polynesian culture and language isolated within Melanesia.
-
B.
Bilibino
Bilibino is a small town in Russia’s Far East best known for hosting one of the world’s northernmost nuclear power plants.
-
C.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
D.
Orawa
Orawa is a historical and ethnographic region in southern Poland known for its distinctive highland culture, folklore, and traditional wooden architecture.
-
E.
Belushya Guba
Belushya Guba is a small Russian settlement on the island of Novaya Zemlya in the Arctic, known primarily as a military and administrative hub for the archipelago.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6106d41081909db710bda8aaf6fd |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0d311148190823cc047e2908bc0 |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa1721f4c819097603adb9a0d38ef |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa26ab1b881909e42a435f4e3333c |
completed | April 3, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:51 p.m.