Triple

T11805870
Position Surface form Disambiguated ID Type / Status
Subject Saitama Prefecture E280745 entity
Predicate hasMajorCity P316 FINISHED
Object Asaka
Asaka is a suburban city in Japan’s Saitama Prefecture, known as a residential and commuter hub just north of Tokyo.
 E232613 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: Asaka | Statement: [Saitama Prefecture, hasMajorCity, Asaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Asaka
Context triple: [Saitama Prefecture, hasMajorCity, Asaka]
  • A. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • B. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • E. Asahiko
    Asahiko is the given name of Prince Kuni Asahiko, a member of the Japanese imperial family during the late Edo and early Meiji periods.
  • 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: Asaka
Triple: [Saitama Prefecture, hasMajorCity, Asaka]
Generated description
Asaka is a suburban city in Japan’s Saitama Prefecture, known as a residential and commuter hub just north of Tokyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Asaka
Target entity description: Asaka is a suburban city in Japan’s Saitama Prefecture, known as a residential and commuter hub just north of Tokyo.
  • A. Asaka chosen
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • B. Hisako
    Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • E. Asahiko
    Asahiko is the given name of Prince Kuni Asahiko, a member of the Japanese imperial family during the late Edo and early Meiji periods.
  • F. None of above.

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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41775f4348190a82e8f6c265c9c36 completed May 1, 2026, 3:01 a.m.
NEDg Description generation batch_69f41f16f43c81909f5d36e8b4b0b9c3 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4225a4b5c8190958aaddbd10035b1 completed May 1, 2026, 3:47 a.m.
Created at: April 8, 2026, 9:42 p.m.