Triple

T17300710
Position Surface form Disambiguated ID Type / Status
Subject Japanese light cruiser Yahagi E420030 entity
Predicate sisterShip P3142 FINISHED
Object Sakawa — NE ONDG

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: Sakawa | Statement: [Japanese light cruiser Yahagi, sisterShip, Sakawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakawa
Context triple: [Japanese light cruiser Yahagi, sisterShip, Sakawa]
  • A. Sabusawa
    Sabusawa is a Japanese surname notably borne by Mari Yoriko Sabusawa, an American civic leader and wife of author James A. Michener.
  • B. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • C. Ozawa
    Ozawa is a Japanese surname borne by various notable individuals in fields such as music, politics, and sports.
  • D. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • E. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • 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: Sakawa
Triple: [Japanese light cruiser Yahagi, sisterShip, Sakawa]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakawa
Target entity description: Sakawa was an Agano-class light cruiser of the Imperial Japanese Navy that saw limited service during World War II and was later used as a target ship in the Operation Crossroads nuclear tests at Bikini Atoll.
  • A. Sabusawa
    Sabusawa is a Japanese surname notably borne by Mari Yoriko Sabusawa, an American civic leader and wife of author James A. Michener.
  • B. Takeo
    Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • C. Ozawa
    Ozawa is a Japanese surname borne by various notable individuals in fields such as music, politics, and sports.
  • D. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • E. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • F. None of above. chosen

Provenance (4 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_6a01954afb088190a92a0f32f901f13f completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:41 a.m.