Triple

T3132969
Position Surface form Disambiguated ID Type / Status
Subject Yokohama Marine Tower E65458 entity
Predicate overlooks P1323 FINISHED
Object Port of Yokohama E300704 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 Yokohama | Statement: [Yokohama Marine Tower, overlooks, Port of Yokohama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Yokohama
Context triple: [Yokohama Marine Tower, overlooks, 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. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada56104ec8190a14591ed73f3fe83 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28e24fef881908b9b9d9a67c42c0e completed March 12, 2026, 9:57 a.m.
Created at: March 8, 2026, 3:04 p.m.