Triple

T2202792
Position Surface form Disambiguated ID Type / Status
Subject Japanese Alps E50527 entity
Predicate nearbyCity P350 FINISHED
Object Takayama
Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
E501071 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: Takayama | Statement: [Japanese Alps, nearbyCity, Takayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takayama
Context triple: [Japanese Alps, nearbyCity, Takayama]
  • A. Matsumoto
    Matsumoto is a historic city in central Japan best known for its well-preserved Matsumoto Castle and as a gateway to the scenic Japanese Alps.
  • B. Kōka
    Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
  • C. Kanazawa
    Kanazawa is a historic Japanese city on the Sea of Japan coast, renowned for its well-preserved samurai and geisha districts, traditional crafts, and the celebrated Kenrokuen Garden.
  • D. Hikone
    Hikone is a historic city in Shiga Prefecture, Japan, best known for its well-preserved Hikone Castle overlooking Lake Biwa.
  • E. Semboku
    Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
  • 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: Takayama
Triple: [Japanese Alps, nearbyCity, Takayama]
Generated description
Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Takayama
Target entity description: Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
  • A. Matsumoto
    Matsumoto is a historic city in central Japan best known for its well-preserved Matsumoto Castle and as a gateway to the scenic Japanese Alps.
  • B. Kōka
    Kōka is a city in Shiga Prefecture, Japan, historically famous as the home of the Kōga ninja tradition.
  • C. Kanazawa
    Kanazawa is a historic Japanese city on the Sea of Japan coast, renowned for its well-preserved samurai and geisha districts, traditional crafts, and the celebrated Kenrokuen Garden.
  • D. Hikone
    Hikone is a historic city in Shiga Prefecture, Japan, best known for its well-preserved Hikone Castle overlooking Lake Biwa.
  • E. Semboku
    Semboku is a city in Akita Prefecture, Japan, known for its historic samurai district in Kakunodate and scenic Lake Tazawa.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa33f0881908403604eafb73ecf completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69bee04d0b0c81908876ff0d675b93ae completed March 21, 2026, 6:15 p.m.
NEDg Description generation batch_69bee5e7ea488190a6997dfad707f660 completed March 21, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69bee64966f88190874edda00332e220 completed March 21, 2026, 6:41 p.m.
Created at: March 4, 2026, 7:46 p.m.