Triple

T9540604
Position Surface form Disambiguated ID Type / Status
Subject Straubing-Bogen E230145 entity
Predicate contains P35 FINISHED
Object Rain
Rain is a small town in the Straubing-Bogen district of Bavaria, Germany, known for its rural character and location in the Lower Bavarian region.
 E805649 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: Rain | Statement: [Straubing-Bogen, contains, Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rain
Context triple: [Straubing-Bogen, contains, Rain]
  • A. Rain
    Rain is a central character in Toni Morrison’s novel "God Help the Child," whose presence and experiences help explore themes of trauma, identity, and healing.
  • B. Rain
    Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
  • C. Rain
    "Rain" is an abstract, emotionally charged painting by British artist Howard Hodgkin, known for its vibrant colors and gestural brushwork evocative of weather and memory.
  • D. Rain
    "Rain" is a 1921 short story by W. Somerset Maugham, renowned for its intense psychological drama set in the South Pacific and its exploration of morality, sexuality, and religious hypocrisy.
  • E. Rain
    Rain is a surname shared by various individuals, including those in the entertainment industry such as actress and writer Jeramie Rain.
  • 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: Rain
Triple: [Straubing-Bogen, contains, Rain]
Generated description
Rain is a small town in the Straubing-Bogen district of Bavaria, Germany, known for its rural character and location in the Lower Bavarian region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rain
Target entity description: Rain is a small town in the Straubing-Bogen district of Bavaria, Germany, known for its rural character and location in the Lower Bavarian region.
  • A. Rain
    Rain is a form of precipitation in which liquid water droplets fall from clouds to the Earth's surface.
  • B. Rain
    "Rain" is a song by Canadian singer-songwriter Jessie Reyez, known for its emotive vocals and introspective lyrics.
  • C. Rain
    "Rain" is a 2001 New Zealand drama film directed by Christine Jeffs, adapted from Kirsty Gunn’s novel about a young girl’s turbulent coming-of-age during a tense family holiday.
  • D. Rain
    "Rain" is a 1921 short story by W. Somerset Maugham, renowned for its intense psychological drama set in the South Pacific and its exploration of morality, sexuality, and religious hypocrisy.
  • E. Rain
    Rain is a South Korean singer and actor known internationally for his music career and roles in films and television dramas.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c6538b08190a9f81304214a876d completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d44b7f08190b66fecb315b37535 completed April 4, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69d14e0823e881908ed723d20f14789b completed April 4, 2026, 5:44 p.m.
Created at: March 30, 2026, 8:01 p.m.