Triple

T2674713
Position Surface form Disambiguated ID Type / Status
Subject Port of Amagasaki E56430 entity
Predicate locatedNear P294 FINISHED
Object Kobe E3089 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 | Statement: [Port of Amagasaki, locatedNear, Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kobe
Context triple: [Port of Amagasaki, locatedNear, Kobe]
  • A. Kobe chosen
    Kobe is a major port city in Japan’s Kansai region, known for its scenic harbor setting, cosmopolitan atmosphere, and famous Kobe beef.
  • B. Kobe waterfront redevelopment area
    The Kobe waterfront redevelopment area is a revitalized coastal district in Kobe, Japan, featuring parks, cultural attractions, and commercial facilities that showcase the city’s modern harborfront.
  • C. Hotto Motto Field Kobe
    Hotto Motto Field Kobe is a baseball stadium in Kobe, Japan, known for hosting Nippon Professional Baseball games and serving as a secondary home venue for the Orix Buffaloes.
  • D. Kobe Chinatown
    Kobe Chinatown is a compact, bustling Chinese district in central Kobe, Japan, known for its vibrant streets, food stalls, and cultural festivals.
  • E. Matsuyama
    Matsuyama is a major city on Japan’s Shikoku Island, known for its historic Dōgo Onsen hot spring and Matsuyama Castle.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b228cc819097f045b4a51d8e7c completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0638a9c8190b48ca5aa56eb66ff completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:54 p.m.