Triple

T3843429
Position Surface form Disambiguated ID Type / Status
Subject Naval Battle of Hakodate E93507 entity
Predicate shipInvolved P862 FINISHED
Object Chiyoda E330035 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: Chiyoda | Statement: [Naval Battle of Hakodate, shipInvolved, Chiyoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiyoda
Context triple: [Naval Battle of Hakodate, shipInvolved, Chiyoda]
  • A. Chiyoda
    Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative hub, housing the Imperial Palace, the National Diet, and many government institutions.
  • B. Chiyoda chosen
    Chiyoda was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in World War II and was sunk during the Battle off Cape Engaño in 1944.
  • C. Hibiya district
    Hibiya district is a central Tokyo area known for its business centers, government buildings, and the historic Hibiya Park near the Imperial Palace.
  • D. Shinagawa
    Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
  • E. Tamagawa district
    Tamagawa district is a residential neighborhood in Setagaya, Tokyo, known for its riverside location along the Tama River and relatively tranquil urban atmosphere.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb4fd308190a636ba9dbbe57ed6 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfabdc5b888190b62b7c56c05f6687 completed March 22, 2026, 8:44 a.m.
Created at: March 9, 2026, 3:18 p.m.