Triple

T493635
Position Surface form Disambiguated ID Type / Status
Subject JST E10241 entity
Predicate usedByCity P4810 FINISHED
Object Akita
Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
 E61829 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: Akita | Statement: [JST, usedByCity, Akita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akita
Context triple: [JST, usedByCity, Akita]
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Husky
    Husky was the codename for the World War II Allied amphibious and airborne invasion of Sicily in July 1943, which marked a major step in the campaign to liberate Europe from Axis control.
  • C. Labrador
    Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
  • D. Canino
    Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
  • E. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • 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: Akita
Triple: [JST, usedByCity, Akita]
Generated description
Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akita
Target entity description: Akita is a city in Japan’s Tōhoku region, serving as the capital of Akita Prefecture and known for its port, rice production, and traditional festivals.
  • A. Ebisu
    Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
  • B. Husky
    Husky was the codename for the World War II Allied amphibious and airborne invasion of Sicily in July 1943, which marked a major step in the campaign to liberate Europe from Axis control.
  • C. Labrador
    Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
  • D. Canino
    Canino is a small town in the Lazio region of central Italy, historically notable as the birthplace of Pope Paul III.
  • E. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fbfa408190aeb3b93996a35c00 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2c33bc81909d0743ca3ef96c00 completed March 1, 2026, 5:53 p.m.
NEDg Description generation batch_69a480d0d5608190b9adf3bc9803e765 completed March 1, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69a4811bb2fc81909f524d172f7ba9b7 completed March 1, 2026, 6:10 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.