Triple

T12092795
Position Surface form Disambiguated ID Type / Status
Subject ports of Japan E287988 entity
Predicate hasPart P35 FINISHED
Object Port of Sakai-Senboku E56130 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 Sakai-Senboku | Statement: [ports of Japan, hasPart, Port of Sakai-Senboku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Sakai-Senboku
Context triple: [ports of Japan, hasPart, Port of Sakai-Senboku]
  • A. Port of Sakai-Semboku chosen
    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.
  • B. Port of Kuwana
    The Port of Kuwana is a Japanese maritime hub located in Mie Prefecture, serving as a regional gateway for shipping and coastal trade along Ise Bay.
  • C. 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.
  • D. Port of Shimizu
    The Port of Shimizu is a major Japanese seaport in Shizuoka Prefecture, known for its scenic views of Mount Fuji and its role in regional trade and industry.
  • E. Port of Amagasaki
    The Port of Amagasaki is a major industrial and commercial seaport in Hyōgo Prefecture, Japan, serving the Kansai region with cargo handling and maritime logistics facilities.
  • 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_69f6c0d2818c8190a1bea5f1fc8a9f59 completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 9:48 p.m.