Triple
T6002322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock Chalk, Jayhawk |
E133625
|
entity |
| Predicate | hasChantElement |
P15355
|
FINISHED |
| Object |
KU
KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
|
E562513
|
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: [Rock Chalk, Jayhawk, hasChantElement, KU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KU Context triple: [Rock Chalk, Jayhawk, hasChantElement, KU]
-
A.
KU
KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
-
B.
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.
-
C.
KU
KU is the vehicle registration code assigned to the district of Kulmbach in the Upper Franconia region of Bavaria, Germany.
-
D.
KU
KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
-
E.
KU
KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
- 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: [Rock Chalk, Jayhawk, hasChantElement, KU]
Generated description
KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KU Target entity description: KU is the University of Kansas, a major public research university in Lawrence, Kansas, known for its strong athletics and distinctive school traditions.
-
A.
KU
KU is a common abbreviation for Kyoto University, a prestigious national research university in Kyoto, Japan.
-
B.
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.
-
C.
KU
KU is the vehicle registration code assigned to the district of Kulmbach in the Upper Franconia region of Bavaria, Germany.
-
D.
KU
KU is the commonly used abbreviation for Korea University, one of South Korea’s leading private research universities.
-
E.
KU
KU is a common abbreviation for the University of Karachi, a major public research university in Karachi, Pakistan.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560bae148190ad4755defaaf471b |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10888e58c8190a9454de046b27faf |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c10b5816548190b73f19e12cdf8e03 |
completed | March 23, 2026, 9:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10c39fb848190a557278d3cd23560 |
completed | March 23, 2026, 9:47 a.m. |
Created at: March 22, 2026, 4:05 p.m.