Triple
T6785143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Pioneers men's ice hockey |
E155781
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DU
DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
|
E617064
|
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: [Denver Pioneers men's ice hockey, abbreviation, DU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DU Context triple: [Denver Pioneers men's ice hockey, abbreviation, DU]
-
A.
DU
DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
-
B.
DU
DU is the vehicle registration code used on license plates for the German city of Duisburg.
-
C.
DU
DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
-
D.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
E.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
- 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: [Denver Pioneers men's ice hockey, abbreviation, DU]
Generated description
DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DU Target entity description: DU is the commonly used abbreviation for the University of Denver, particularly associated with its Denver Pioneers athletic programs.
-
A.
DU
DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
-
B.
DU
DU is the vehicle registration code used on license plates for the German city of Duisburg.
-
C.
DU
DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
-
D.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
E.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28de0348190998751fd546bfd02 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712d6fb4c8190a7e7b88edc9c848c |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c7135f643481908b325739af0c6611 |
completed | March 27, 2026, 11:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c713f829e08190973571df498acbb5 |
completed | March 27, 2026, 11:34 p.m. |
Created at: March 27, 2026, 2:14 p.m.