Triple

T3310505
Position Surface form Disambiguated ID Type / Status
Subject Western Japan E69559 entity
Predicate hasMajorPort P942 FINISHED
Object Port of Kobe E28753 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 Kobe | Statement: [Western Japan, hasMajorPort, Port of Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Kobe
Context triple: [Western Japan, hasMajorPort, Port of Kobe]
  • A. Port of Kobe chosen
    The Port of Kobe is one of Japan’s major international seaports, serving as a key hub for container shipping and maritime trade in the Kansai region.
  • B. Port of Osaka
    The Port of Osaka is a major Japanese seaport and logistics hub serving the Kansai region, handling international trade, passenger ferries, and cruise ships.
  • C. Port of Chiba
    The Port of Chiba is one of Japan’s largest industrial and cargo ports, serving as a major hub for petrochemical and manufacturing industries along the eastern shore of Tokyo Bay.
  • D. Port of Kawasaki
    The Port of Kawasaki is a major industrial and commercial seaport in Kanagawa Prefecture, Japan, serving as a key logistics and manufacturing hub within the Greater Tokyo area.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eb6dd08190bab1ce80f417966a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3609bd0d48190838df7dd7cbca159 completed March 13, 2026, 12:55 a.m.
Created at: March 8, 2026, 3:11 p.m.