Triple
T15954894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sapporo metropolitan area |
E386908
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Ebetsu |
E762963
|
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: Ebetsu | Statement: [Sapporo metropolitan area, hasSuburb, Ebetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebetsu Context triple: [Sapporo metropolitan area, hasSuburb, Ebetsu]
-
A.
Ebetsu
chosen
Ebetsu is a city in Hokkaido, Japan, known as a suburban and educational hub east of Sapporo.
-
B.
Takuu
Takuu is a remote Polynesian outlier atoll near Papua New Guinea, known for its distinct Polynesian culture and language isolated within Melanesia.
-
C.
Sobetsu
Sobetsu is a small town in Hokkaido, Japan, known for its scenic Lake Tōya views, hot springs, and fruit orchards.
-
D.
Otuoke
Otuoke is a town in Bayelsa State, Nigeria, known as the hometown of former President Goodluck Jonathan.
-
E.
Bilibino
Bilibino is a small town in Russia’s Far East best known for hosting one of the world’s northernmost nuclear power plants.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.