Triple

T2425768
Position Surface form Disambiguated ID Type / Status
Subject Minato, Tokyo, Japan E53522 entity
Predicate contains P35 FINISHED
Object Aoyama (part) E190766 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: Aoyama (part) | Statement: [Minato, Tokyo, Japan, contains, Aoyama (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aoyama (part)
Context triple: [Minato, Tokyo, Japan, contains, Aoyama (part)]
  • A. Aoyama chosen
    Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
  • B. Omiya
    Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
  • C. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • D. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • E. Arima
    Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99a773c819092d5f3c297b83887 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf61088481909d79e822e4071456 completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.