Triple

T11472480
Position Surface form Disambiguated ID Type / Status
Subject 90 Day Fiancé E271942 entity
Predicate focusesOn P31 FINISHED
Object K-1 visa
The K-1 visa is a U.S. nonimmigrant visa that allows a foreign fiancé(e) of an American citizen to enter the country for 90 days to get married and then apply for permanent residency.
 E927363 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: K-1 visa | Statement: [90 Day Fiancé, focusesOn, K-1 visa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K-1 visa
Context triple: [90 Day Fiancé, focusesOn, K-1 visa]
  • A. Korea Exchange
    Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
  • B. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • C. K1
    K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
  • D. K1
    K1 is the first highly accurate marine chronometer built by Larcum Kendall in the 18th century, famous for its role in improving longitude determination at sea.
  • E. KM
    KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
  • 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: K-1 visa
Triple: [90 Day Fiancé, focusesOn, K-1 visa]
Generated description
The K-1 visa is a U.S. nonimmigrant visa that allows a foreign fiancé(e) of an American citizen to enter the country for 90 days to get married and then apply for permanent residency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K-1 visa
Target entity description: The K-1 visa is a U.S. nonimmigrant visa that allows a foreign fiancé(e) of an American citizen to enter the country for 90 days to get married and then apply for permanent residency.
  • A. Korea Exchange
    Korea Exchange is South Korea’s main securities and derivatives marketplace, serving as the country’s primary stock exchange for major companies such as Samsung.
  • B. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • C. K1
    K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
  • D. K1
    K1 is the first highly accurate marine chronometer built by Larcum Kendall in the 18th century, famous for its role in improving longitude determination at sea.
  • E. KM
    KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294b3f388190a587c358313f7260 completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e95a479c81909a330c9721bd3902 completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f15a50b881908d0930021833ae74 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f88f16748190826a7fc5d27019d7 completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.