Triple

T12675687
Position Surface form Disambiguated ID Type / Status
Subject Kobe City College of Technology (Port Island campus) E302804 entity
Predicate affiliation P10 FINISHED
Object Kobe City E580770 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: Kobe City | Statement: [Kobe City College of Technology (Port Island campus), affiliation, Kobe City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kobe City
Context triple: [Kobe City College of Technology (Port Island campus), affiliation, Kobe City]
  • A. Kobe
    Kobe is a major port city in Japan’s Kansai region, known for its scenic harbor setting, cosmopolitan atmosphere, and famous Kobe beef.
  • B. 神戸市 chosen
    神戸市は、兵庫県の県庁所在地であり、国際貿易港や異国情緒あふれる街並みで知られる日本有数の港湾都市です。
  • C. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • D. Kobe Nankinmachi
    Kobe Nankinmachi is a famous Chinatown district in Kobe, Japan, known for its Chinese restaurants, shops, and vibrant cultural festivals.
  • E. Kobe, Hyogo, Japan
    Kobe, Hyogo, Japan is a major port city in western Japan known for its international trade, scenic harbor setting between mountains and sea, and famous Kobe beef.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b0d9c88190a05d6cbcb7a1642d completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ead66bc819099c8d274d69a2022 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:20 p.m.