Triple

T17300709
Position Surface form Disambiguated ID Type / Status
Subject Japanese light cruiser Yahagi E420030 entity
Predicate sisterShip P3142 FINISHED
Object Noshiro
Noshiro was an Agano-class light cruiser of the Imperial Japanese Navy that served during World War II in the Pacific Theater.
 E1567272 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: Noshiro | Statement: [Japanese light cruiser Yahagi, sisterShip, Noshiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noshiro
Context triple: [Japanese light cruiser Yahagi, sisterShip, Noshiro]
  • A. Noshiro
    Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
  • B. Shiraoi
    Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
  • C. Kōriyama
    Kōriyama is a major commercial and transportation hub city located in Japan’s Tōhoku region.
  • D. Yonezawa
    Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
  • E. Yūbari
    Yūbari is a city in Hokkaido, Japan, historically known for its coal mining industry and famous Yubari King melons.
  • 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: Noshiro
Triple: [Japanese light cruiser Yahagi, sisterShip, Noshiro]
Generated description
Noshiro was an Agano-class light cruiser of the Imperial Japanese Navy that served during World War II in the Pacific Theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Noshiro
Target entity description: Noshiro was an Agano-class light cruiser of the Imperial Japanese Navy that served during World War II in the Pacific Theater.
  • A. Noshiro
    Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
  • B. Shiraoi
    Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
  • C. Kōriyama
    Kōriyama is a major commercial and transportation hub city located in Japan’s Tōhoku region.
  • D. Yonezawa
    Yonezawa is a city in southern Yamagata Prefecture, Japan, known for its historic castle town, high-quality Yonezawa beef, and snowy climate.
  • E. Yūbari
    Yūbari is a city in Hokkaido, Japan, historically known for its coal mining industry and famous Yubari King melons.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f9e5ac8190ba0b5820790112d9 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf28a68988190bb25d84337226982 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bfbeb1b248190932b5f98f8a91c14 completed May 19, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0bfc4db40c8190bb5ae34d179a2892 completed May 19, 2026, 5:59 a.m.
Created at: April 10, 2026, 5:41 a.m.