Triple

T16299944
Position Surface form Disambiguated ID Type / Status
Subject Suruga Bay E395756 entity
Predicate hasCoastlineIn P212 FINISHED
Object Yaizu 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: Yaizu City | Statement: [Suruga Bay, hasCoastlineIn, Yaizu City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaizu City
Context triple: [Suruga Bay, hasCoastlineIn, Yaizu City]
  • A. Yaizu City chosen
    Yaizu City is a coastal city in central Japan known for its fishing industry and seafood processing, particularly in tuna and bonito.
  • B. Saijō City
    Saijō City is a municipality in Ehime Prefecture on Japan’s Shikoku Island, known as a gateway to Mount Ishizuchi and for its natural springs and scenic mountain landscapes.
  • C. Nagaokakyo City
    Nagaokakyo City is a suburban city in Kyoto Prefecture, Japan, known for its residential communities, historical temples, and convenient rail access to Kyoto and Osaka.
  • D. Kōriyama
    Kōriyama is a major commercial and transportation hub city located in Japan’s Tōhoku region.
  • E. Komaki City
    Komaki City is a municipality in Aichi Prefecture, Japan, known as a regional industrial and transportation hub within the Nagoya metropolitan area.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e31c9e8819094593f3aeb44f2ca completed April 17, 2026, 4:22 p.m.
Created at: April 10, 2026, 5:06 a.m.