Triple

T17928195
Position Surface form Disambiguated ID Type / Status
Subject Higashinada-ku, Kobe E448253 entity
Predicate borders P224 FINISHED
Object Nada-ku, Kobe 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: Nada-ku, Kobe | Statement: [Higashinada-ku, Kobe, borders, Nada-ku, Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nada-ku, Kobe
Context triple: [Higashinada-ku, Kobe, borders, Nada-ku, Kobe]
  • A. Nada-ku, Kobe chosen
    Nada-ku, Kobe is a ward of Kobe, Japan, known for its scenic Mount Rokko area, sake breweries, and residential neighborhoods.
  • B. Nagata-ku, Kobe
    Nagata-ku, Kobe is one of the wards of Kobe, Japan, known as a traditional working-class and industrial area with a significant history, including heavy damage in the 1995 Great Hanshin earthquake.
  • C. Higashinada-ku, Kobe
    Higashinada-ku, Kobe is a coastal ward in eastern Kobe, Japan, known for its residential districts, sake breweries, and man-made islands such as Rokkō Island.
  • D. Hyogo-ku, Kobe
    Hyogo-ku, Kobe is one of the central wards of Kobe, Japan, known for its mix of residential districts, historic sites, and industrial waterfront areas.
  • E. Kobe Nankinmachi
    Kobe Nankinmachi is a famous Chinatown district in Kobe, Japan, known for its Chinese restaurants, shops, and vibrant cultural festivals.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5505af88190aa7a5cfee0baa3a4 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.