Triple

T11093099
Position Surface form Disambiguated ID Type / Status
Subject Miura Peninsula E262304 entity
Predicate majorCityOnPeninsula P10961 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: [Miura Peninsula, majorCityOnPeninsula, Zushi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zushi
Context triple: [Miura Peninsula, majorCityOnPeninsula, Zushi]
  • A. Tsuruga
    Tsuruga is a coastal city in Fukui Prefecture, Japan, known as a key port and transportation hub on the Sea of Japan side of Honshu.
  • B. Noshiro
    Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
  • C. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • D. Ichinoseki
    Ichinoseki is a city in northeastern Japan known as a gateway to the scenic and historic sites of southern Iwate Prefecture.
  • E. 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.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2818ec8190ae926a0ffdeb7bb7 completed May 9, 2026, 3 p.m.
Created at: April 8, 2026, 9:27 p.m.