Triple

T9629800
Position Surface form Disambiguated ID Type / Status
Subject Shunpanrō E232567 entity
Predicate near P350 FINISHED
Object Shimonoseki city center E116384 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: Shimonoseki city center | Statement: [Shunpanrō, near, Shimonoseki city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimonoseki city center
Context triple: [Shunpanrō, near, Shimonoseki city center]
  • A. 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.
  • B. Shimonoseki chosen
    Shimonoseki is a Japanese port city at the southwestern tip of Honshu known as a key maritime gateway between Japan and the Korean Peninsula.
  • C. Komagome
    Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
  • D. Ōsaki
    Ōsaki is a major commercial and business district in Tokyo known for its high-rise office complexes and convenient rail connections.
  • E. Nakanoshima business district
    Nakanoshima business district is a central commercial and financial area in Osaka, Japan, known for its concentration of offices, cultural institutions, and riverside urban scenery.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1798bf4f081908fd3731783e441c1 completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.