Triple

T13207735
Position Surface form Disambiguated ID Type / Status
Subject Haruna E314408 entity
Predicate builtAt P283 FINISHED
Object Kawasaki Dockyard, Kobe E14036 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: Kawasaki Dockyard, Kobe | Statement: [Haruna, builtAt, Kawasaki Dockyard, Kobe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawasaki Dockyard, Kobe
Context triple: [Haruna, builtAt, Kawasaki Dockyard, Kobe]
  • A. Kawasaki Shipyard, Kobe chosen
    Kawasaki Shipyard in Kobe is a major Japanese shipbuilding and heavy industry facility operated by Kawasaki Heavy Industries, historically known for constructing significant naval and commercial vessels.
  • B. Port of Himeji
    The Port of Himeji is a key industrial and logistics seaport in Hyōgo Prefecture, Japan, serving as an important hub for maritime trade and heavy industry along the Seto Inland Sea.
  • C. 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.
  • D. Port of Amagasaki
    The Port of Amagasaki is a major industrial and commercial seaport in Hyōgo Prefecture, Japan, serving the Kansai region with cargo handling and maritime logistics facilities.
  • E. Harborland, Kobe
    Harborland, Kobe is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its malls, restaurants, and scenic harbor views.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9cb7ac819095cff8699993c419 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f611b11c8190b9f89313eb2b5fab completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.