Triple

T14972413
Position Surface form Disambiguated ID Type / Status
Subject Tama River E373354 entity
Predicate flowsThrough P225 FINISHED
Object Kawasaki-ku, Kawasaki E432349 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: Kawasaki-ku, Kawasaki | Statement: [Tama River, flowsThrough, Kawasaki-ku, Kawasaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawasaki-ku, Kawasaki
Context triple: [Tama River, flowsThrough, Kawasaki-ku, Kawasaki]
  • A. Kawasaki-ku chosen
    Kawasaki-ku is a central ward of Kawasaki City in Kanagawa Prefecture, Japan, known for its urban districts, commercial centers, and industrial areas along Tokyo Bay.
  • B. 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.
  • C. Kawasaki, Kanagawa
    Kawasaki, Kanagawa is a major industrial and residential city in Kanagawa Prefecture, Japan, situated between Tokyo and Yokohama along the Tama River.
  • D. Nakagyō-ku, Kyoto
    Nakagyō-ku, Kyoto is a central ward of Kyoto City known for its historic sites, traditional streetscapes, and role as a cultural and commercial hub.
  • E. Kawasaki City
    Kawasaki City is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along Tokyo Bay.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9692e4fc8190a1194a41fc8a832c completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:50 a.m.