Triple
T1212091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Delhi |
E26022
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DU
DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
|
E137516
|
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: DU | Statement: [University of Delhi, shortName, DU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DU Context triple: [University of Delhi, shortName, DU]
-
A.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
B.
BU
BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
-
C.
BU
BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
-
D.
UDA
UDA is a loyalist paramilitary organization in Northern Ireland, formally known as the Ulster Defence Association, that was heavily involved in the Troubles.
-
E.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
- 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: DU Triple: [University of Delhi, shortName, DU]
Generated description
DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DU Target entity description: DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
-
A.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
B.
BU
BU is a major private research university in Boston, Massachusetts, known for its diverse academic programs and global student body.
-
C.
BU
BU is a historic vehicle registration prefix that was once used to identify motor vehicles registered in Buckinghamshire, England.
-
D.
UDA
UDA is a loyalist paramilitary organization in Northern Ireland, formally known as the Ulster Defence Association, that was heavily involved in the Troubles.
-
E.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde6cb608190b77fc5c47083e4b7 |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f43a12c8190a1ba90eefafd6bbc |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fbadd08819090ef4a9aff3bef0b |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8022a6b08190ba6a1448cebe6017 |
completed | March 7, 2026, 7:44 p.m. |
Created at: March 1, 2026, 7:46 p.m.