Triple

T9893906
Position Surface form Disambiguated ID Type / Status
Subject Biwako Quasi-National Park E181520 entity
Predicate isNear P350 FINISHED
Object Otsu
Otsu is a city in Japan’s Shiga Prefecture that serves as the prefectural capital and a gateway to Lake Biwa and its surrounding natural and historical attractions.
 E167718 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: Otsu | Statement: [Biwako Quasi-National Park, isNear, Otsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Otsu
Context triple: [Biwako Quasi-National Park, isNear, Otsu]
  • A. Shuji
    Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
  • B. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • C. Yamazoe
    Yamazoe is a rural village in Nara Prefecture, Japan, known for its mountainous terrain, forests, and traditional countryside landscapes.
  • D. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • E. Sumio
    Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
  • 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: Otsu
Triple: [Biwako Quasi-National Park, isNear, Otsu]
Generated description
Otsu is a city in Japan’s Shiga Prefecture that serves as the prefectural capital and a gateway to Lake Biwa and its surrounding natural and historical attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Otsu
Target entity description: Otsu is a city in Japan’s Shiga Prefecture that serves as the prefectural capital and a gateway to Lake Biwa and its surrounding natural and historical attractions.
  • A. Otsu chosen
    Otsu is the capital city of Shiga Prefecture in Japan, known for its location on the southwestern shore of Lake Biwa and its historic temples and lakeside scenery.
  • B. Shuji
    Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
  • C. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • D. Yamazoe
    Yamazoe is a rural village in Nara Prefecture, Japan, known for its mountainous terrain, forests, and traditional countryside landscapes.
  • E. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb48271d48190b718c7f6b2fe315b completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb0d984c81908408f90f156624e5 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1edaceb608190a75e738a34c6d16f completed April 5, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69d1ee5b837c8190b294a78cebf141ae completed April 5, 2026, 5:08 a.m.
Created at: March 30, 2026, 8:39 p.m.