Triple

T21371306
Position Surface form Disambiguated ID Type / Status
Subject Takashima E527068 entity
Predicate near P350 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: [Takashima, near, Port of Yokohama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Yokohama
Context triple: [Takashima, near, 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0af44d88190aedd3b2127bb297d completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.