Triple

T3086093
Position Surface form Disambiguated ID Type / Status
Subject Yamato-class battleship E64375 entity
Predicate shipyardForMusashi P4334 FINISHED
Object Mitsubishi Nagasaki Shipyard E93008 NE FINISHED

How this triple was built (3 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: Mitsubishi Nagasaki Shipyard | Statement: [Yamato-class battleship, shipyardForMusashi, Mitsubishi Nagasaki Shipyard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsubishi Nagasaki Shipyard
Context triple: [Yamato-class battleship, shipyardForMusashi, Mitsubishi Nagasaki Shipyard]
  • A. Mitsubishi Nagasaki shipyard chosen
    Mitsubishi Nagasaki shipyard was a major Japanese naval and industrial shipbuilding facility in Nagasaki, known for constructing large warships for the Imperial Japanese Navy.
  • B. Imabari Shipbuilding
    Imabari Shipbuilding is a major Japanese shipbuilding company known for constructing large commercial vessels, including some of the world’s biggest container ships.
  • C. Kawasaki Shipyard, Kobe
    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.
  • D. Mazagon Dock Shipbuilders Limited
    Mazagon Dock Shipbuilders Limited is a major Indian public sector shipyard based in Mumbai, known for constructing warships and submarines for the Indian Navy and other clients.
  • E. Yokosuka Naval Arsenal
    Yokosuka Naval Arsenal was a major Imperial Japanese Navy shipbuilding and armaments facility that constructed many of Japan’s warships before and during World War II.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shipyardForMusashi
Context triple: [Yamato-class battleship, shipyardForMusashi, Mitsubishi Nagasaki Shipyard]
  • A. shipyard chosen
    Indicates a relationship where a location functions as a facility for building, repairing, or maintaining ships.
  • B. involvedShipJapan
    Indicates that a ship associated with Japan was involved in the referenced event or activity.
  • C. shipbuildingActivity
    Indicates the activity or process of constructing, assembling, or significantly modifying ships or large watercraft.
  • D. shipDraft
    Indicates the depth of a ship’s hull below the waterline, typically representing how deeply the vessel sits in the water.
  • E. componentShip
    Indicates that one entity is a physical or logical component or part of another entity, such that the whole is composed of or depends on that component.
  • F. None of above.

Provenance (4 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1eac5548190bee60ea8262c65a8 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203607df081909499458d6608f0e6 completed March 12, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.