Triple

T13569822
Position Surface form Disambiguated ID Type / Status
Subject Nippon Maru Memorial Park E324127 entity
Predicate locatedNear P294 FINISHED
Object Yokohama Port E1082147 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: Yokohama Port | Statement: [Nippon Maru Memorial Park, locatedNear, Yokohama Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokohama Port
Context triple: [Nippon Maru Memorial Park, locatedNear, Yokohama Port]
  • A. Yokohama Port chosen
    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.
  • B. Kitakyushu Port
    Kitakyushu Port is a major Japanese seaport and logistics hub in Fukuoka Prefecture that serves as a key gateway for domestic and international maritime trade.
  • 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. Sendai Port
    Sendai Port is a major commercial seaport on the Pacific coast of northeastern Japan, serving as an important hub for cargo transport and regional industry.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00f5b8881908617f42d227ed137 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15abe6c8190a6212861bbce790e completed May 8, 2026, 1:12 p.m.
Created at: April 9, 2026, 9:48 p.m.