Triple
T4524584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barkatullah University |
E103346
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
BU
BU is a public university located in Bhopal, Madhya Pradesh, India, offering a wide range of undergraduate, postgraduate, and research programs across various disciplines.
|
E449658
|
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: BU | Statement: [Barkatullah University, acronym, BU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BU Context triple: [Barkatullah University, acronym, BU]
-
A.
BU
BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
-
B.
BU
BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
-
C.
BUR
BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
-
D.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
E.
BO
BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
- 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: BU Triple: [Barkatullah University, acronym, BU]
Generated description
BU is a public university located in Bhopal, Madhya Pradesh, India, offering a wide range of undergraduate, postgraduate, and research programs across various disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BU Target entity description: BU is a public university located in Bhopal, Madhya Pradesh, India, offering a wide range of undergraduate, postgraduate, and research programs across various disciplines.
-
A.
BU
BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
-
B.
BU
BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
-
C.
BUR
BUR is the three-letter IATA airport code for Hollywood Burbank Airport, a commercial airport serving the Los Angeles area in Southern California.
-
D.
BAL
BAL is the Amtrak station code for Pennsylvania Station in Baltimore, Maryland, a major rail hub in the city’s transportation network.
-
E.
BO
BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5773341c8190bf27745feb863575 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda4483aa481909a100bf20085d667 |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda5dc417c81909a9305167efcaa06 |
completed | March 20, 2026, 7:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda6865dcc81908676d14395445832 |
completed | March 20, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.