Triple

T1360086
Position Surface form Disambiguated ID Type / Status
Subject Nagatachō E29078 entity
Predicate adjacentTo P224 FINISHED
Object Kasumigaseki E180115 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: Kasumigaseki | Statement: [Nagatachō, adjacentTo, Kasumigaseki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasumigaseki
Context triple: [Nagatachō, adjacentTo, Kasumigaseki]
  • A. Kasumigaseki chosen
    Kasumigaseki is a central district in Tokyo known as Japan’s main government and bureaucratic hub, housing numerous national ministries and agencies.
  • B. Tokushima
    Tokushima is a coastal city on Japan’s Shikoku Island known for its annual Awa Odori dance festival and role as a regional cultural and economic center.
  • C. Fukuchiyama
    Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
  • D. Ushijima
    Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
  • E. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b156b081909c99ada70a969fc0 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad607ead308190a599fac02c91e77e completed March 8, 2026, 11:41 a.m.
Created at: March 1, 2026, 7:56 p.m.