Triple

T11411830
Position Surface form Disambiguated ID Type / Status
Subject Steklov Institute of Mathematics E270388 entity
Predicate abbreviation P43 FINISHED
Object MIAN
MIAN is the commonly used abbreviation for the Steklov Institute of Mathematics, a leading Russian research institute specializing in mathematical sciences.
E924205 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: MIAN | Statement: [Steklov Institute of Mathematics, abbreviation, MIAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIAN
Context triple: [Steklov Institute of Mathematics, abbreviation, MIAN]
  • A. Mian
    Mian is a casual Asian noodle and dumpling restaurant located inside Rivers Casino Des Plaines.
  • B. Mien
    Mien are an ethnic group of the Yao minority in East and Southeast Asia, known for their distinct language, traditional dress, and mountain village communities.
  • C. Mi
    Mi was the ancestral clan name of the royal house of the ancient Chinese state of Chu, to which King Zhuang of Chu belonged.
  • D. Mi
    Mi is a sub-brand of Xiaomi used primarily for its line of consumer electronics and smart devices, including smartphones, TVs, and streaming boxes.
  • E. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • 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: MIAN
Triple: [Steklov Institute of Mathematics, abbreviation, MIAN]
Generated description
MIAN is the commonly used abbreviation for the Steklov Institute of Mathematics, a leading Russian research institute specializing in mathematical sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MIAN
Target entity description: MIAN is the commonly used abbreviation for the Steklov Institute of Mathematics, a leading Russian research institute specializing in mathematical sciences.
  • A. Mian
    Mian is a casual Asian noodle and dumpling restaurant located inside Rivers Casino Des Plaines.
  • B. Mien
    Mien are an ethnic group of the Yao minority in East and Southeast Asia, known for their distinct language, traditional dress, and mountain village communities.
  • C. Mi
    Mi was the ancestral clan name of the royal house of the ancient Chinese state of Chu, to which King Zhuang of Chu belonged.
  • D. Mi
    Mi is a sub-brand of Xiaomi used primarily for its line of consumer electronics and smart devices, including smartphones, TVs, and streaming boxes.
  • E. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8015017d08190b4020c76545556d6 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b855f0508190a2e57ef9407ddb1a completed April 20, 2026, 5:23 a.m.
NEDg Description generation batch_69e5c28d3824819097ff84cb4e13c923 completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c451c6c88190bcbb1f54ede35d29 completed April 20, 2026, 6:14 a.m.
Created at: April 8, 2026, 9:34 p.m.