Triple

T8694736
Position Surface form Disambiguated ID Type / Status
Subject Shinkai 6500 E206378 entity
Predicate successorTo P78 FINISHED
Object Shinkai 2000 E206378 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: Shinkai 2000 | Statement: [Shinkai 6500, successorTo, Shinkai 2000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinkai 2000
Context triple: [Shinkai 6500, successorTo, Shinkai 2000]
  • A. Shinkai 6500 chosen
    Shinkai 6500 is a Japanese crewed deep-sea research submersible capable of diving to depths of 6,500 meters to study the ocean floor.
  • B. Odakyu
    Odakyu is a Japanese retail and transportation company best known for operating railway lines and department stores in the Greater Tokyo area.
  • C. Mahikari
    Mahikari is a Japanese new religious movement known for its emphasis on spiritual purification through the transmission of divine light.
  • D. Meitetsu
    Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
  • E. Hikifune
    Hikifune is a neighborhood in Tokyo’s Sumida ward, known as a traditional residential area with convenient access to central Tokyo.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58284c58819091beb05a7d6b3a1b completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3f36a6081909e300f168fbcb8ac completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.