Triple

T3093041
Position Surface form Disambiguated ID Type / Status
Subject Yokohama Landmark Tower E64526 entity
Predicate near P350 FINISHED
Object Pacifico Yokohama E324126 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: Pacifico Yokohama | Statement: [Yokohama Landmark Tower, near, Pacifico Yokohama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pacifico Yokohama
Context triple: [Yokohama Landmark Tower, near, Pacifico Yokohama]
  • A. Pacifico Yokohama chosen
    Pacifico Yokohama is a major waterfront convention and exhibition complex in Yokohama, Japan, known for hosting international conferences, trade shows, and events.
  • B. Port of Yokohama
    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.
  • C. Yokosuka
    Yokosuka is a coastal city in Kanagawa Prefecture, Japan, known for its major naval base and strategic location at the mouth of Tokyo Bay.
  • D. 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.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada21055b88190b602425a513af7e6 completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235a3ebac8190af9a25eeee778675 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:03 p.m.