Triple

T16239534
Position Surface form Disambiguated ID Type / Status
Subject Omotesando Station E394203 entity
Predicate locatedInWard P40 FINISHED
Object Minato NE NERFINISHED

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: Minato | Statement: [Omotesando Station, locatedInWard, Minato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minato
Context triple: [Omotesando Station, locatedInWard, Minato]
  • A. Minato chosen
    Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
  • B. Minato-ku
    Minato-ku is a central ward of Osaka, Japan, known for its waterfront attractions and major landmarks such as the Osaka Aquarium Kaiyukan.
  • C. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • D. Minato Mirai district
    Minato Mirai district is a modern waterfront urban area in Yokohama, Japan, known for its high-rise skyline, shopping and entertainment complexes, and scenic harbor views.
  • E. Minato City (Minato-ku)
    Minato City (Minato-ku) is a central Tokyo ward known for its major business districts, embassies, and landmarks such as Roppongi, Odaiba, and Tokyo Tower.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:04 a.m.