Triple

T10978795
Position Surface form Disambiguated ID Type / Status
Subject Amagi E259442 entity
Predicate sisterShip P3142 FINISHED
Object Katsuragi E359520 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: Katsuragi | Statement: [Amagi, sisterShip, Katsuragi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katsuragi
Context triple: [Amagi, sisterShip, Katsuragi]
  • A. Katsuragi
    Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
  • B. Katsuragi chosen
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • C. Akizuki
    Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
  • D. Ryujo
    Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
  • E. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f7b874819087bf5a858905279b completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4acc9d60c819084e342076fe682fc completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:24 p.m.