Triple

T10624540
Position Surface form Disambiguated ID Type / Status
Subject Imabari Shipbuilding E250287 entity
Predicate competitor P1375 FINISHED
Object Japan Marine United E512623 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: Japan Marine United | Statement: [Imabari Shipbuilding, competitor, Japan Marine United]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japan Marine United
Context triple: [Imabari Shipbuilding, competitor, Japan Marine United]
  • A. Japan Marine United chosen
    Japan Marine United is a major Japanese shipbuilding company known for constructing advanced naval vessels for the Japan Maritime Self-Defense Force and commercial ships for global markets.
  • B. Osaka Marubiru
    Osaka Marubiru is a prominent multi-purpose commercial building and shopping complex located in Osaka’s Umeda business district.
  • C. Nisshin
    Nisshin is a suburban city in central Japan known for its residential communities and proximity to Nagoya in Aichi Prefecture.
  • D. 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.
  • E. Keikyu Corporation
    Keikyu Corporation is a major private railway operator in the Greater Tokyo area, best known for its commuter and airport rail services connecting central Tokyo with Haneda Airport and the Miura Peninsula.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7fe9fc81908b3b8d1dc06a829c completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b9a27f881908e451bfa6c118af4 completed April 10, 2026, 9:28 p.m.
Created at: April 8, 2026, 8:53 p.m.