Triple

T10014907
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate hasMajorPort P942 FINISHED
Object Port of Nagoya E83102 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 Nagoya | Statement: [Aichi Prefecture, hasMajorPort, Port of Nagoya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Nagoya
Context triple: [Aichi Prefecture, hasMajorPort, Port of Nagoya]
  • A. Port of Nagoya chosen
    The Port of Nagoya is Japan’s busiest and largest trading port, serving as a major hub for automobile exports and international maritime commerce.
  • B. Port of Toyohashi
    The Port of Toyohashi is a major Japanese seaport in Aichi Prefecture known especially for handling large volumes of automobile and industrial cargo.
  • C. Port of Yokkaichi
    The Port of Yokkaichi is a major industrial and commercial seaport in Mie Prefecture, Japan, known for serving the surrounding petrochemical and manufacturing complexes along Ise Bay.
  • D. 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.
  • E. 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.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb8b92b0819081e5ac52e2f4f27e completed April 5, 2026, 8:52 p.m.
Created at: March 30, 2026, 8:52 p.m.