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.