Triple

T15947069
Position Surface form Disambiguated ID Type / Status
Subject Seta River E386711 entity
Predicate alsoKnownAs P39 FINISHED
Object Seta-gawa
Seta-gawa is a river in Japan that flows out of Lake Biwa through the city of Ōtsu in Shiga Prefecture.
 E1214746 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: Seta-gawa | Statement: [Seta River, alsoKnownAs, Seta-gawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seta-gawa
Context triple: [Seta River, alsoKnownAs, Seta-gawa]
  • A. Hommachi
    Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
  • B. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • C. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • D. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • E. Ayagawa
    Ayagawa is a small town in Kagawa Prefecture on Japan’s Shikoku island, known for its rural landscapes and traditional agricultural character.
  • 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: Seta-gawa
Triple: [Seta River, alsoKnownAs, Seta-gawa]
Generated description
Seta-gawa is a river in Japan that flows out of Lake Biwa through the city of Ōtsu in Shiga Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seta-gawa
Target entity description: Seta-gawa is a river in Japan that flows out of Lake Biwa through the city of Ōtsu in Shiga Prefecture.
  • A. Hommachi
    Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
  • B. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • C. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • D. Gushikawa
    Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
  • E. Ayagawa
    Ayagawa is a small town in Kagawa Prefecture on Japan’s Shikoku island, known for its rural landscapes and traditional agricultural character.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d1a4c08190afc325491ba38870 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004f39008c819095ad8512eb119ee8 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050a0f5b081908417c6062b1f50cc completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a00517b7b1c819098118fdbe03eb010 completed May 10, 2026, 9:35 a.m.
Created at: April 10, 2026, 4:53 a.m.