Triple

T17213001
Position Surface form Disambiguated ID Type / Status
Subject Ōsu district E417777 entity
Predicate locatedIn P40 FINISHED
Object Naka Ward, Nagoya E382208 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: Naka Ward, Nagoya | Statement: [Ōsu district, locatedIn, Naka Ward, Nagoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naka Ward, Nagoya
Context triple: [Ōsu district, locatedIn, Naka Ward, Nagoya]
  • A. Naka Ward, Nagoya chosen
    Naka Ward, Nagoya is a central district of Nagoya, Japan, known as a major commercial, entertainment, and cultural hub of the city.
  • B. Moriyama-ku, Nagoya
    Moriyama-ku, Nagoya is one of the eastern wards of Nagoya, Japan, known primarily as a residential area with a mix of suburban neighborhoods and green spaces.
  • C. Higashi-ku, Nagoya
    Higashi-ku, Nagoya is one of the central wards of Nagoya, Japan, known for its cultural institutions, commercial districts, and urban residential areas.
  • D. Nakamura-ku, Nagoya
    Nakamura-ku, Nagoya is a central ward of Nagoya, Japan, known as a major commercial and transportation hub that includes Nagoya Station and its surrounding high-rise developments.
  • E. Shōwa-ku, Nagoya
    Shōwa-ku, Nagoya is one of the wards of Nagoya, Japan, known as a primarily residential and educational area with several universities and parks.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc795d08190b90801a4f8b23afe completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e9d4308190a7c97da472d5e4b7 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.