Triple

T14690582
Position Surface form Disambiguated ID Type / Status
Subject Niigata Prefecture E345022 entity
Predicate containsCity P294 FINISHED
Object Minamiuonuma
Minamiuonuma is a city in Japan known for its heavy snowfall, high-quality Koshihikari rice, and scenic mountainous landscapes.
 E983121 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: Minamiuonuma | Statement: [Niigata Prefecture, containsCity, Minamiuonuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Minamiuonuma
Context triple: [Niigata Prefecture, containsCity, Minamiuonuma]
  • A. Keikyū
    Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
  • B. Suō-Ōshima
    Suō-Ōshima is a large inhabited island in Japan’s Seto Inland Sea known for its scenic coastal landscapes, citrus cultivation, and cultural ties with Hawaii.
  • C. Ninohe
    Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
  • D. Fukuchiyama
    Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
  • E. Atago
    Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
  • 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: Minamiuonuma
Triple: [Niigata Prefecture, containsCity, Minamiuonuma]
Generated description
Minamiuonuma is a city in Japan known for its heavy snowfall, high-quality Koshihikari rice, and scenic mountainous landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Minamiuonuma
Target entity description: Minamiuonuma is a city in Japan known for its heavy snowfall, high-quality Koshihikari rice, and scenic mountainous landscapes.
  • A. Keikyū
    Keikyū is a major private railway operator in the Greater Tokyo area of Japan, known for its commuter and airport rail services.
  • B. Suō-Ōshima
    Suō-Ōshima is a large inhabited island in Japan’s Seto Inland Sea known for its scenic coastal landscapes, citrus cultivation, and cultural ties with Hawaii.
  • C. Ninohe chosen
    Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
  • D. Fukuchiyama
    Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
  • E. Atago
    Atago was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38857068819085e0d62829302abd completed May 8, 2026, 7:24 p.m.
NEDg Description generation batch_69fe51446e7c8190ad8d3c1396e64a8e completed May 8, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69fe5192da448190869093360766e815 completed May 8, 2026, 9:11 p.m.
Created at: April 10, 2026, 1:28 a.m.