Triple
T18541737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donetsk National Technical University |
E453116
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DonNTU
DonNTU is a major technical university in Donetsk, Ukraine, known for its engineering and applied science programs.
|
E1331040
|
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: DonNTU | Statement: [Donetsk National Technical University, shortName, DonNTU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DonNTU Context triple: [Donetsk National Technical University, shortName, DonNTU]
-
A.
NTU
NTU is the IATA airport code for Naval Air Station Oceana, a major U.S. Navy jet base located in Virginia Beach, Virginia.
-
B.
NTU
NTU is the commonly used abbreviation for the Dutch Language Union (Nederlandse Taalunie), the international institution that regulates and promotes the Dutch language.
-
C.
NTU
NTU is a leading public research university in Taipei, Taiwan, renowned for its comprehensive academic programs and high global rankings.
-
D.
NTU
NTU is the commonly used abbreviation for Navajo Technical University, a higher education institution serving the Navajo Nation and surrounding communities.
-
E.
NCTU
NCTU is a leading Taiwanese research university renowned for its strengths in engineering, computer science, and information technology.
- 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: DonNTU Triple: [Donetsk National Technical University, shortName, DonNTU]
Generated description
DonNTU is a major technical university in Donetsk, Ukraine, known for its engineering and applied science programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DonNTU Target entity description: DonNTU is a major technical university in Donetsk, Ukraine, known for its engineering and applied science programs.
-
A.
NTU
NTU is the IATA airport code for Naval Air Station Oceana, a major U.S. Navy jet base located in Virginia Beach, Virginia.
-
B.
NTU
NTU is the commonly used abbreviation for the Dutch Language Union (Nederlandse Taalunie), the international institution that regulates and promotes the Dutch language.
-
C.
NTU
NTU is a leading public research university in Taipei, Taiwan, renowned for its comprehensive academic programs and high global rankings.
-
D.
NTU
NTU is the commonly used abbreviation for Navajo Technical University, a higher education institution serving the Navajo Nation and surrounding communities.
-
E.
NCTU
NCTU is a leading Taiwanese research university renowned for its strengths in engineering, computer science, and information technology.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b749b88190ad03b26bee3c89df |
completed | April 19, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad9d8108190b7251f293563a056 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049d1fabfc8190ade010ba5d2a2c1b |
completed | May 13, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049f83689c81908e02646a157c80d4 |
completed | May 13, 2026, 3:57 p.m. |
Created at: April 10, 2026, 11:38 a.m.