Triple

T13221349
Position Surface form Disambiguated ID Type / Status
Subject Memanbetsu Airport E314759 entity
Predicate locatedNear P294 FINISHED
Object Abashiri, Hokkaido 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, Hokkaido | Statement: [Memanbetsu Airport, locatedNear, Abashiri, Hokkaido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abashiri, Hokkaido
Context triple: [Memanbetsu Airport, locatedNear, Abashiri, Hokkaido]
  • 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. Rusutsu, Hokkaido
    Rusutsu, Hokkaido is a village in Japan’s northernmost prefecture best known for its large ski resort and year-round outdoor recreation.
  • C. Kitami, Hokkaido
    Kitami is a city in northeastern Hokkaido, Japan, known as a regional commercial center and gateway to the Okhotsk area.
  • D. 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.
  • E. Ebetsu, Hokkaido, Japan
    Ebetsu is a city in Hokkaido, Japan, known as a suburban and educational hub near Sapporo with a strong agricultural and food-processing presence.
  • 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_69f77f7846008190aa27fafe19056807 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:18 p.m.