Triple

T16978078
Position Surface form Disambiguated ID Type / Status
Subject Ōsu Kannon E411865 entity
Predicate locatedIn P40 FINISHED
Object Naka-ku, 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-ku, Nagoya | Statement: [Ōsu Kannon, locatedIn, Naka-ku, Nagoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naka-ku, Nagoya
Context triple: [Ōsu Kannon, locatedIn, Naka-ku, Nagoya]
  • A. Meiō-ku, Nagoya
    Meiō-ku, Nagoya is a ward of the city of Nagoya in Aichi Prefecture, Japan.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Chikusa-ku, Nagoya
    Chikusa-ku, Nagoya is a ward in the city of Nagoya, Japan, known for its academic institutions, residential neighborhoods, and cultural facilities.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d185a9408190a991bf8a1ef694f0 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01673e1be08190b39c38fd8115a02c completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:32 a.m.