Triple

T20655601
Position Surface form Disambiguated ID Type / Status
Subject Reutlingen E507617 entity
Predicate twinCity P1072 FINISHED
Object Ashi
Ashi is a city in Japan known for its international partnership with Reutlingen, Germany.
 E1443348 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: Ashi | Statement: [Reutlingen, twinCity, Ashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ashi
Context triple: [Reutlingen, twinCity, Ashi]
  • A. Asashio
    Asashio was a Japanese destroyer that served in the Imperial Japanese Navy during World War II as the lead ship of her class.
  • B. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • C. Ashima
    Ashima is a central character in Jhumpa Lahiri’s novel "The Namesake," representing the experiences of an Indian immigrant mother adapting to life in the United States.
  • D. Junshi
    Junshi was the courtesy name of Sima Guang, a prominent Song dynasty historian and statesman best known for compiling the comprehensive chronicle "Zizhi Tongjian."
  • E. Isami
    Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
  • 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: Ashi
Triple: [Reutlingen, twinCity, Ashi]
Generated description
Ashi is a city in Japan known for its international partnership with Reutlingen, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ashi
Target entity description: Ashi is a city in Japan known for its international partnership with Reutlingen, Germany.
  • A. Asashio
    Asashio was a Japanese destroyer that served in the Imperial Japanese Navy during World War II as the lead ship of her class.
  • B. Asaka
    Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
  • C. Ashima
    Ashima is a central character in Jhumpa Lahiri’s novel "The Namesake," representing the experiences of an Indian immigrant mother adapting to life in the United States.
  • D. Junshi
    Junshi was the courtesy name of Sima Guang, a prominent Song dynasty historian and statesman best known for compiling the comprehensive chronicle "Zizhi Tongjian."
  • E. Isami
    Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ed48308190b9350a323b9a7952 completed April 20, 2026, 11:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c5999180819091f3f1255b490150 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c6b3abf881909c9cb0e6ec85b84f completed May 16, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_6a08c778429081909235b628ba07d574 completed May 16, 2026, 7:37 p.m.
Created at: April 16, 2026, 11:43 a.m.