Triple

T7248593
Position Surface form Disambiguated ID Type / Status
Subject Kobe Airport E156537 entity
Predicate operator P179 FINISHED
Object City of 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: City of Kobe | Statement: [Kobe Airport, operator, City of Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kobe
Context triple: [Kobe Airport, operator, City of 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 Gaslight Street
    Kobe Gaslight Street is a retro-style shopping and promenade area in Kobe’s Harborland district, known for its nostalgic gas lamp-inspired design, boutiques, and waterfront atmosphere.
  • C. BE KOBE monument
    The BE KOBE monument is a popular waterfront landmark and photo spot in Kobe, Japan, symbolizing the city's identity and resilience.
  • D. Hoop City
    Hoop City is a nickname for Springfield, Massachusetts, highlighting its rich basketball history and status as the birthplace of the sport.
  • E. Kobe Luminarie
    Kobe Luminarie is an annual winter light festival in Kobe, Japan, featuring elaborate illuminated installations created to commemorate the victims of the 1995 Great Hanshin earthquake.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea763f208190af1210cd8d2a05c9 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e523149481909bbc7dd88046e8b0 completed March 28, 2026, 2:26 p.m.
Created at: March 27, 2026, 2:56 p.m.