Triple

T10702449
Position Surface form Disambiguated ID Type / Status
Subject Honshū expressway network E252308 entity
Predicate connects P390 FINISHED
Object Sendai E40916 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: Sendai | Statement: [Honshū expressway network, connects, Sendai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sendai
Context triple: [Honshū expressway network, connects, Sendai]
  • A. Sendai chosen
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • B. Daigo
    Daigo was the era name (nengō) in Japanese history corresponding to the reign of Emperor Daigo in the early 10th century.
  • C. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • D. Toyokan
    Toyokan is a gallery building of the Tokyo National Museum that primarily showcases Asian art and archaeological artifacts from regions outside Japan.
  • E. 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.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddd28d481908abc5c1d4e5a9f3e completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62d41448190ab65fb9c81d4d673 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:12 p.m.