Triple

T610671
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido E12089 entity
Predicate hasCity P316 FINISHED
Object Kitami
Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
 E80174 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: Kitami | Statement: [Hokkaido, hasCity, Kitami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kitami
Context triple: [Hokkaido, hasCity, Kitami]
  • A. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Chitose
    Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
  • D. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • E. Otaru
    Otaru is a historic port city in northern Japan known for its picturesque canal, preserved Meiji- and Taishō-era architecture, and fresh seafood.
  • 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: Kitami
Triple: [Hokkaido, hasCity, Kitami]
Generated description
Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kitami
Target entity description: Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
  • A. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Chitose
    Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
  • D. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • E. Otaru
    Otaru is a historic port city in northern Japan known for its picturesque canal, preserved Meiji- and Taishō-era architecture, and fresh seafood.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df7c088819082eb70de4f0f4fbf completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5740161cc81909a0086f7c541be98 completed March 2, 2026, 11:26 a.m.
NEDg Description generation batch_69a57548510481908f4d0aa2f45485ce completed March 2, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69a576df962c8190a0ce140a735393ea completed March 2, 2026, 11:39 a.m.
Created at: March 1, 2026, 7:35 p.m.