Triple

T1067451
Position Surface form Disambiguated ID Type / Status
Subject Nara Prefecture E23243 entity
Predicate hasCity P316 FINISHED
Object Gose
Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
 E124707 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: Gose | Statement: [Nara Prefecture, hasCity, Gose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gose
Context triple: [Nara Prefecture, hasCity, Gose]
  • A. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • B. Egegik
    Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
  • C. Venoge
    Venoge is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
  • D. Crombach
    Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • E. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • 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: Gose
Triple: [Nara Prefecture, hasCity, Gose]
Generated description
Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gose
Target entity description: Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
  • A. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • B. Egegik
    Egegik is a dialect of the Central Alaskan Yup’ik language traditionally spoken in the Egegik region of southwestern Alaska.
  • C. Venoge
    Venoge is a river in western Switzerland that flows through the canton of Vaud before emptying into Lake Geneva.
  • D. Crombach
    Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • E. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b911f06881908659cb85ba1e05e0 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a51c208190a9a603100ed7f5dc completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac431f9ebc81908bcc9b259b2e47a8 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43a2a294819095cf58c39118389f completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.