Triple

T6727376
Position Surface form Disambiguated ID Type / Status
Subject Port of Tokyo E153549 entity
Predicate adjacentTo P224 FINISHED
Object Port of Kawasaki E158912 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 Kawasaki | Statement: [Port of Tokyo, adjacentTo, Port of Kawasaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Kawasaki
Context triple: [Port of Tokyo, adjacentTo, Port of Kawasaki]
  • A. Port of Kawasaki chosen
    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.
  • 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 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.
  • D. 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.
  • E. Port of Osaka
    The Port of Osaka is a major Japanese seaport and logistics hub serving the Kansai region, handling international trade, passenger ferries, and cruise ships.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d152a4908190a041f2049240e7ca completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f8255ac81909e7732947d2a5f53 completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 2:08 p.m.