Triple
T9009748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ural Federal University |
E215436
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
UrFU
UrFU is a major Russian public research university located in Yekaterinburg, known for its strong engineering, technical, and applied science programs.
|
E771647
|
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: UrFU | Statement: [Ural Federal University, shortName, UrFU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UrFU Context triple: [Ural Federal University, shortName, UrFU]
-
A.
URFC
URFC is the commonly used abbreviation for Utah Royals FC, a professional women's soccer club based in Utah that has competed in the National Women's Soccer League.
-
B.
Fu
Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
-
C.
Ur
Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
-
D.
OFU
OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
-
E.
UNT
UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
- 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: UrFU Triple: [Ural Federal University, shortName, UrFU]
Generated description
UrFU is a major Russian public research university located in Yekaterinburg, known for its strong engineering, technical, and applied science programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UrFU Target entity description: UrFU is a major Russian public research university located in Yekaterinburg, known for its strong engineering, technical, and applied science programs.
-
A.
URFC
URFC is the commonly used abbreviation for Utah Royals FC, a professional women's soccer club based in Utah that has competed in the National Women's Soccer League.
-
B.
Fu
Fu is a Chinese surname borne by various notable historical and contemporary figures across politics, arts, and other fields.
-
C.
Ur
Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
-
D.
OFU
OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
-
E.
UNT
UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c00ae8819090786385a72e8baf |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0ee18b48190a520ce4e1d3a41ef |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd14a28d48190b63561f9a537daeb |
completed | April 3, 2026, 2:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd1fd6db08190921285c3cfd3ce91 |
completed | April 3, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:06 p.m.