Triple

T2451320
Position Surface form Disambiguated ID Type / Status
Subject Japanese aircraft carrier Hōshō E53710 entity
Predicate name P16 FINISHED
Object Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
E362180 NE FINISHED

How this triple was built (4 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: Hōshō | Statement: [Japanese aircraft carrier Hōshō, name, Hōshō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hōshō
Context triple: [Japanese aircraft carrier Hōshō, name, Hōshō]
  • A. Honjo
    Honjo is a historic district in Tokyo known for its traditional shitamachi atmosphere and close ties to the Sumida River area.
  • B. 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.
  • C. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hōshō
Triple: [Japanese aircraft carrier Hōshō, name, Hōshō]
Generated description
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hōshō
Target entity description: Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
  • A. Honjo
    Honjo is a historic district in Tokyo known for its traditional shitamachi atmosphere and close ties to the Sumida River area.
  • B. 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.
  • C. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • D. Gotō
    Gotō is a Japanese surname borne by various notable figures in politics, business, and the arts.
  • 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. chosen

Provenance (5 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f402b48190b871b2475983af7e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3737db06481908b854eff532fce18 completed March 13, 2026, 2:16 a.m.
NEDg Description generation batch_69b373f5a3108190aea3918190831f7e completed March 13, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69b3745e11c081909e8d9bc7551d9e81 completed March 13, 2026, 2:20 a.m.
Created at: March 6, 2026, 9:43 p.m.