Triple
T13221374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memanbetsu Airport |
E314759
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Abashiri |
E1040512
|
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: Abashiri | Statement: [Memanbetsu Airport, nearbyCity, Abashiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abashiri Context triple: [Memanbetsu Airport, nearbyCity, Abashiri]
-
A.
Abashiri
chosen
Abashiri is a coastal city in northeastern Hokkaido, Japan, known for its drift ice, historic prison museum, and role as a regional hub on the Sea of Okhotsk.
-
B.
Kushiro
Kushiro is a coastal city in eastern Hokkaido, Japan, known for its large fishing port, cool maritime climate, and nearby wetlands rich in wildlife such as red-crowned cranes.
-
C.
Simushir
Simushir is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and former Soviet military installations.
-
D.
Tōyako
Tōyako is a town in Hokkaido, Japan, known for its scenic Lake Tōya, hot spring resorts, and volcanic landscapes within Shikotsu-Toya National Park.
-
E.
Rusutsu, Hokkaido
Rusutsu, Hokkaido is a village in Japan’s northernmost prefecture best known for its large ski resort and year-round outdoor recreation.
- 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_69f79d3398b08190a0fc4b6044576e0a |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:18 p.m.