Triple

T12092797
Position Surface form Disambiguated ID Type / Status
Subject ports of Japan E287988 entity
Predicate hasPart P35 FINISHED
Object Port of Yokkaichi E726807 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: Port of Yokkaichi | Statement: [ports of Japan, hasPart, Port of Yokkaichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Yokkaichi
Context triple: [ports of Japan, hasPart, Port of Yokkaichi]
  • A. Port of Yokkaichi chosen
    The Port of Yokkaichi is a major industrial and commercial seaport in Mie Prefecture, Japan, known for serving the surrounding petrochemical and manufacturing complexes along Ise Bay.
  • B. Port of Toyohashi
    The Port of Toyohashi is a major Japanese seaport in Aichi Prefecture known especially for handling large volumes of automobile and industrial cargo.
  • C. Port of Sakai-Semboku
    The Port of Sakai-Semboku is a major industrial and commercial seaport in the Osaka metropolitan area, serving as a key logistics hub for maritime trade in western Japan.
  • D. Port of Wakayama
    The Port of Wakayama is a key industrial and commercial seaport in Japan’s Kansai region, supporting manufacturing, logistics, and maritime trade along Osaka Bay.
  • E. Port of Nagoya
    The Port of Nagoya is Japan’s busiest and largest trading port, serving as a major hub for automobile exports and international maritime commerce.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9151797988190b0d007ea806bcf02 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e476d48190b6d9fafa7fe1cb9f completed May 3, 2026, 4:58 a.m.
Created at: April 8, 2026, 9:48 p.m.