Triple
T13862470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Kashmir |
E333229
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
KU
KU is the commonly used abbreviation for the University of Kashmir, a major public university located in Srinagar, Jammu and Kashmir, India.
|
E1066803
|
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: KU | Statement: [University of Kashmir, shortName, KU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KU Context triple: [University of Kashmir, shortName, KU]
-
A.
KU
KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
-
B.
KU
KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
-
C.
KU
KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
-
D.
KU
KU is the commonly used abbreviation for Kettering University, a private university in Flint, Michigan known for its strong engineering and cooperative education programs.
-
E.
KU
KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
- 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: KU Triple: [University of Kashmir, shortName, KU]
Generated description
KU is the commonly used abbreviation for the University of Kashmir, a major public university located in Srinagar, Jammu and Kashmir, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KU Target entity description: KU is the commonly used abbreviation for the University of Kashmir, a major public university located in Srinagar, Jammu and Kashmir, India.
-
A.
KU
KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
-
B.
KU
KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
-
C.
KU
KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
-
D.
KU
KU is the commonly used abbreviation for Kutztown University of Pennsylvania, a public university located in Kutztown, Pennsylvania.
-
E.
KU
KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c33437e8819085b6f79402500ba3 |
completed | May 3, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3cd3cf0819099cc6cbd04c62e83 |
completed | May 3, 2026, 9:53 p.m. |
Created at: April 9, 2026, 10:14 p.m.