Triple

T14690575
Position Surface form Disambiguated ID Type / Status
Subject Niigata Prefecture E345022 entity
Predicate containsCity P294 FINISHED
Object Ojiya
Ojiya is a small Japanese city in Niigata Prefecture known for its traditional textiles, koi breeding, and rural mountainous scenery.
 E1375750 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: Ojiya | Statement: [Niigata Prefecture, containsCity, Ojiya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ojiya
Context triple: [Niigata Prefecture, containsCity, Ojiya]
  • A. Shiraoi
    Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
  • B. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • C. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • D. Omiya
    Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
  • E. Noshiro
    Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
  • 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: Ojiya
Triple: [Niigata Prefecture, containsCity, Ojiya]
Generated description
Ojiya is a small Japanese city in Niigata Prefecture known for its traditional textiles, koi breeding, and rural mountainous scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ojiya
Target entity description: Ojiya is a small Japanese city in Niigata Prefecture known for its traditional textiles, koi breeding, and rural mountainous scenery.
  • A. Shiraoi
    Shiraoi is a coastal town in Hokkaido, Japan, known for its Ainu cultural heritage and natural hot springs.
  • B. Ōgaki
    Ōgaki is a former municipality in Hiroshima Prefecture, Japan, that was incorporated into the city of Etajima.
  • C. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • D. Omiya
    Omiya is a major commercial and transportation hub in Saitama Prefecture, Japan, known for its busy railway station and urban center.
  • E. Noshiro
    Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
  • 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_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_6a0733b28b808190a06ec86a6e2adb83 completed May 15, 2026, 2:54 p.m.
NEDg Description generation batch_6a073623e5a08190a5a7398ee9bc56b2 completed May 15, 2026, 3:05 p.m.
NED2 Entity disambiguation (via description) batch_6a073712f4048190831dddd875e82324 completed May 15, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:28 a.m.