Triple

T1708954
Position Surface form Disambiguated ID Type / Status
Subject Shiga Prefecture E36933 entity
Predicate contains P35 FINISHED
Object Konan, Shiga
Konan, Shiga is a city in Japan known for its rural landscapes, historical temples, and location in the southern part of Shiga Prefecture.
 E200363 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: Konan, Shiga | Statement: [Shiga Prefecture, contains, Konan, Shiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Konan, Shiga
Context triple: [Shiga Prefecture, contains, Konan, Shiga]
  • A. Moriyama, Shiga
    Moriyama, Shiga is a city in central Japan known for its location on the southeastern shore of Lake Biwa and its blend of residential, commercial, and historical areas.
  • B. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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: Konan, Shiga
Triple: [Shiga Prefecture, contains, Konan, Shiga]
Generated description
Konan, Shiga is a city in Japan known for its rural landscapes, historical temples, and location in the southern part of Shiga Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Konan, Shiga
Target entity description: Konan, Shiga is a city in Japan known for its rural landscapes, historical temples, and location in the southern part of Shiga Prefecture.
  • A. Moriyama, Shiga
    Moriyama, Shiga is a city in central Japan known for its location on the southeastern shore of Lake Biwa and its blend of residential, commercial, and historical areas.
  • B. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • C. Tatsuno
    Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
  • D. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5bc1db881908e859dbde2ea2d98 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb69b142c81909dd8bd40e8e440ad completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8bac99081908cf126d42c609559 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:30 p.m.