Triple

T4747748
Position Surface form Disambiguated ID Type / Status
Subject Hayama, Kanagawa, Japan E105402 entity
Predicate near P350 FINISHED
Object Zushi E594742 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: Zushi | Statement: [Hayama, Kanagawa, Japan, near, Zushi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zushi
Context triple: [Hayama, Kanagawa, Japan, near, Zushi]
  • A. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • B. Zushi, Kanagawa Prefecture chosen
    Zushi, Kanagawa Prefecture is a small coastal city in Japan known for its sandy beaches, residential character, and proximity to both Kamakura and central Tokyo.
  • C. Morioka
    Morioka is the capital city of Iwate Prefecture in Japan’s Tōhoku region, known for its historic castle site, surrounding mountains, and distinctive local noodle dishes.
  • D. Niigata
    Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
  • E. Ōsaki
    Ōsaki is a major commercial and business district in Tokyo known for its high-rise office complexes and convenient rail connections.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c567288190a420e6825ee72822 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9ea3f8a20819096ae41db21c8da0e completed March 30, 2026, 3:13 a.m.
Created at: March 20, 2026, 1:20 p.m.