Triple

T12594509
Position Surface form Disambiguated ID Type / Status
Subject Center Force E300699 entity
Predicate ship P880 FINISHED
Object Nagato E268170 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: Nagato | Statement: [Center Force, ship, Nagato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagato
Context triple: [Center Force, ship, Nagato]
  • A. Nagato chosen
    Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
  • B. Takatoshi
    Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
  • C. Ōtomo
    Ōtomo is a historical Japanese clan name borne by several notable aristocrats and poets in ancient Japan.
  • D. Akiro
    Akiro is a wise and skilled wizard who serves as one of Conan the Barbarian’s key companions in the film "Conan the Destroyer."
  • E. Hatsuzuki
    Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6ddfdc81908df8baa701ed1fbf completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:08 p.m.