Triple

T7816415
Position Surface form Disambiguated ID Type / Status
Subject Asaka, Saitama E181016 entity
Predicate formerName P65 FINISHED
Object Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
E701894 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: Hizaori | Statement: [Asaka, Saitama, formerName, Hizaori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hizaori
Context triple: [Asaka, Saitama, formerName, Hizaori]
  • A. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • 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. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • D. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • E. Akizuki
    Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 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: Hizaori
Triple: [Asaka, Saitama, formerName, Hizaori]
Generated description
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hizaori
Target entity description: Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
  • A. Katsuragi
    Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
  • 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. Hoori
    Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
  • D. Anogi
    Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
  • E. Akizuki
    Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96ea6d881908eff5f750e0f6700 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cbded6d1a881909d9816fcd8a55e49 completed March 31, 2026, 2:48 p.m.
NEDg Description generation batch_69cbe436e20481908b297cd94eafbeec completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0c32aac081909cdd0d69cacdd27f completed March 31, 2026, 6:02 p.m.
Created at: March 30, 2026, 4:39 p.m.