Triple

T20600235
Position Surface form Disambiguated ID Type / Status
Subject South Kantō E506157 entity
Predicate hasPort P35 FINISHED
Object Port of Yokohama NE NERFINISHED

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 Yokohama | Statement: [South Kantō, hasPort, Port of Yokohama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Yokohama
Context triple: [South Kantō, hasPort, Port of Yokohama]
  • A. Port of Yokohama chosen
    The Port of Yokohama is one of Japan’s largest and busiest international seaports, serving as a major hub for container shipping, trade, and passenger cruises in the Tokyo Bay area.
  • B. Yokohama Port
    Yokohama Port is one of Japan’s major international seaports, serving as a key hub for trade, passenger traffic, and waterfront tourism in the city of Yokohama.
  • C. Port of Kobe
    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.
  • D. Port of Tokyo
    The Port of Tokyo is one of Japan’s major international seaports, serving as a key hub for container shipping, trade, and logistics in the Greater Tokyo metropolitan 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 (2 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ef9ac8190b05e23c149529cb9 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.