Triple

T14964375
Position Surface form Disambiguated ID Type / Status
Subject Izuhara Port E373150 entity
Predicate locatedInMunicipality P40 FINISHED
Object Tsushima City NE NERFINISHED

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: Tsushima City | Statement: [Izuhara Port, locatedInMunicipality, Tsushima City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsushima City
Context triple: [Izuhara Port, locatedInMunicipality, Tsushima City]
  • A. Tsushima City chosen
    Tsushima City is a Japanese municipal government located on Tsushima Island in Nagasaki Prefecture, overseeing the island’s administration and local affairs.
  • B. Komatsushima City
    Komatsushima City is a coastal municipality in eastern Shikoku, Japan, known for its port, citrus production, and role as a regional commercial center.
  • C. Kaga City
    Kaga City is a hot spring resort city in southern Ishikawa Prefecture, Japan, known for its historic onsen towns, traditional crafts, and scenic natural surroundings.
  • D. Shimonoseki City
    Shimonoseki City is a coastal city in Yamaguchi Prefecture, Japan, known as a major gateway between Honshu and Kyushu and for its historic role in maritime trade and the First Sino-Japanese War.
  • E. Natori City
    Natori City is a coastal municipality in northeastern Japan known for its proximity to Sendai and its recovery efforts following the 2011 Tōhoku earthquake and tsunami.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
Created at: April 10, 2026, 2:45 a.m.