Triple
T8352130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengal Engineering and Science University |
E196585
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
BESU
BESU is a renowned engineering and science university in West Bengal, India, known for its strong technical education and research legacy.
|
E727489
|
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: BESU | Statement: [Bengal Engineering and Science University, alsoKnownAs, BESU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BESU Context triple: [Bengal Engineering and Science University, alsoKnownAs, BESU]
-
A.
Besu
Besu is an open-source Java-based Ethereum client designed for enterprise and public network use, supporting both mainnet and private/permissioned blockchain deployments.
-
B.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
C.
BES
BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
-
D.
Nethermind
Nethermind is a high-performance, .NET-based Ethereum execution client used to run full nodes, validate blocks, and interact with the Ethereum network.
-
E.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
- 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: BESU Triple: [Bengal Engineering and Science University, alsoKnownAs, BESU]
Generated description
BESU is a renowned engineering and science university in West Bengal, India, known for its strong technical education and research legacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BESU Target entity description: BESU is a renowned engineering and science university in West Bengal, India, known for its strong technical education and research legacy.
-
A.
Besu
Besu is an open-source Java-based Ethereum client designed for enterprise and public network use, supporting both mainnet and private/permissioned blockchain deployments.
-
B.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
C.
BES
BES is the international vehicle registration code used for the Caribbean Netherlands islands of Bonaire, Sint Eustatius, and Saba.
-
D.
Nethermind
Nethermind is a high-performance, .NET-based Ethereum execution client used to run full nodes, validate blocks, and interact with the Ethereum network.
-
E.
Meta River
The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80460f048190aa298ddffde1047d |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc75623488190be3303f5e75784e8 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc86626c8190a4206feedea24b41 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcde02e088190be8220f7d18d6700 |
completed | April 2, 2026, 2:01 a.m. |
Created at: March 30, 2026, 5:59 p.m.