Triple
T6454419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen's University at Kingston |
E139955
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
QU
QU is a common abbreviation for Queen's University at Kingston, a major public research university in Kingston, Ontario, Canada.
|
E594601
|
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: QU | Statement: [Queen's University at Kingston, abbreviation, QU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QU Context triple: [Queen's University at Kingston, abbreviation, QU]
-
A.
Qu
Qu is a Chinese surname shared by various notable figures in politics, science, and the arts.
-
B.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
C.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
D.
Q
The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
-
E.
Q
Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
- 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: QU Triple: [Queen's University at Kingston, abbreviation, QU]
Generated description
QU is a common abbreviation for Queen's University at Kingston, a major public research university in Kingston, Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QU Target entity description: QU is a common abbreviation for Queen's University at Kingston, a major public research university in Kingston, Ontario, Canada.
-
A.
Qu
Qu is a Chinese surname shared by various notable figures in politics, science, and the arts.
-
B.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
C.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
D.
Q
The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
-
E.
Q
Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d339788190992e3299ffe30d58 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd982208190bbf5f00a85f7098d |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64d8fe71881908417dc1d3f242bd5 |
completed | March 27, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64e5cd1b88190abcdc8af02991d1d |
completed | March 27, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:48 p.m.