Triple

T21382975
Position Surface form Disambiguated ID Type / Status
Subject Gifu Prefecture E527409 entity
Predicate hasCity P316 FINISHED
Object Hida
Hida is a small historic city in Japan’s Gifu Prefecture, known for its preserved traditional townscapes and rural mountain scenery.
 E1552804 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: Hida | Statement: [Gifu Prefecture, hasCity, Hida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hida
Context triple: [Gifu Prefecture, hasCity, Hida]
  • A. Hida Sanmyaku
    Hida Sanmyaku is a major mountain range in central Japan, forming part of the country’s so-called Northern Alps and known for its high peaks and alpine scenery.
  • B. Sasayama
    Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
  • C. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • D. Tsuchiyama
    Tsuchiyama is a locality in Japan known as an access point for hiking routes up Mount Atago.
  • E. Maihara
    Maihara was a former town in Shiga Prefecture, Japan, that later became part of the city of Maibara through a municipal merger.
  • 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: Hida
Triple: [Gifu Prefecture, hasCity, Hida]
Generated description
Hida is a small historic city in Japan’s Gifu Prefecture, known for its preserved traditional townscapes and rural mountain scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hida
Target entity description: Hida is a small historic city in Japan’s Gifu Prefecture, known for its preserved traditional townscapes and rural mountain scenery.
  • A. Hida Sanmyaku
    Hida Sanmyaku is a major mountain range in central Japan, forming part of the country’s so-called Northern Alps and known for its high peaks and alpine scenery.
  • B. Sasayama
    Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
  • C. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • D. Tsuchiyama
    Tsuchiyama is a locality in Japan known as an access point for hiking routes up Mount Atago.
  • E. Maihara
    Maihara was a former town in Shiga Prefecture, Japan, that later became part of the city of Maibara through a municipal merger.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f05278819096c511035ffc9777 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b97fc2600819085486a9d540c9df3 completed May 18, 2026, 10:51 p.m.
NEDg Description generation batch_6a0b9884cb548190958d16f42be4bea8 completed May 18, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0b98e7887881909ec9cc4a2a2167c5 completed May 18, 2026, 10:55 p.m.
Created at: April 16, 2026, 5:12 p.m.