Triple
T20498256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylhet Agricultural University |
E503228
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SAU
SAU is a public agricultural university located in Sylhet, Bangladesh, specializing in agricultural, veterinary, and related life science education and research.
|
E1434119
|
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: SAU | Statement: [Sylhet Agricultural University, abbreviation, SAU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAU Context triple: [Sylhet Agricultural University, abbreviation, SAU]
-
A.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
B.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
C.
SAAU
SAAU is the abbreviated name for the State Aviation Administration of Ukraine, the national authority responsible for regulating and overseeing civil aviation in Ukraine.
-
D.
SAAR
SAAR is the ICAO airport code for Rosario – Islas Malvinas International Airport in Rosario, Argentina.
-
E.
SAV
SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
- 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: SAU Triple: [Sylhet Agricultural University, abbreviation, SAU]
Generated description
SAU is a public agricultural university located in Sylhet, Bangladesh, specializing in agricultural, veterinary, and related life science education and research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAU Target entity description: SAU is a public agricultural university located in Sylhet, Bangladesh, specializing in agricultural, veterinary, and related life science education and research.
-
A.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
B.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
C.
SAAU
SAAU is the abbreviated name for the State Aviation Administration of Ukraine, the national authority responsible for regulating and overseeing civil aviation in Ukraine.
-
D.
SAAR
SAAR is the ICAO airport code for Rosario – Islas Malvinas International Airport in Rosario, Argentina.
-
E.
SAV
SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbff210819089900e9a35911f48 |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893bd1c508190bbba38fb36650723 |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894634f748190ae0a3be77125bf03 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08958072d08190a0e4ba12c7e550ea |
completed | May 16, 2026, 4:04 p.m. |
Created at: April 16, 2026, 11:35 a.m.