Triple

T11855446
Position Surface form Disambiguated ID Type / Status
Subject Ōta, Tokyo E282024 entity
Predicate contains P35 FINISHED
Object Ikegami
Ikegami is a neighborhood in Tokyo known for its historic Ikegami Honmon-ji temple and traditional atmosphere within the Ōta ward.
 E949038 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: Ikegami | Statement: [Ōta, Tokyo, contains, Ikegami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ikegami
Context triple: [Ōta, Tokyo, contains, Ikegami]
  • A. Shuji
    Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
  • B. Yoshimura
    Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • C. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • D. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • E. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • 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: Ikegami
Triple: [Ōta, Tokyo, contains, Ikegami]
Generated description
Ikegami is a neighborhood in Tokyo known for its historic Ikegami Honmon-ji temple and traditional atmosphere within the Ōta ward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ikegami
Target entity description: Ikegami is a neighborhood in Tokyo known for its historic Ikegami Honmon-ji temple and traditional atmosphere within the Ōta ward.
  • A. Shuji
    Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
  • B. Yoshimura
    Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • C. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • D. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • E. Hakutaka
    Hakutaka is a high-speed train service operating on Japan’s Hokuriku Shinkansen line, connecting Tokyo with cities along the Sea of Japan coast.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167d9b9e8819093582637941fc5ca completed April 29, 2026, 2:07 a.m.
NEDg Description generation batch_69f17006e6108190b51b20ddf6d2368c completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17819af5c8190a98db3cd8eff8da2 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.