Triple
T2149727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen's Own Rifles of Canada |
E47151
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
QOR
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
|
E240101
|
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: QOR | Statement: [The Queen's Own Rifles of Canada, nickname, QOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QOR Context triple: [The Queen's Own Rifles of Canada, nickname, QOR]
-
A.
The Q
The Q is the former nickname of Rocket Mortgage FieldHouse, a major indoor arena in downtown Cleveland that hosts NBA games, concerts, and other large events.
-
B.
Q’s
Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
-
C.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
D.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
E.
QRO
QRO is the vehicle registration code used on license plates for the Mexican state of Querétaro.
- 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: QOR Triple: [The Queen's Own Rifles of Canada, nickname, QOR]
Generated description
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QOR Target entity description: QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
-
A.
The Q
The Q is the former nickname of Rocket Mortgage FieldHouse, a major indoor arena in downtown Cleveland that hosts NBA games, concerts, and other large events.
-
B.
Q’s
Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
-
C.
DoQ
DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
-
D.
QR
QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
-
E.
QRO
QRO is the vehicle registration code used on license plates for the Mexican state of Querétaro.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe45dbf481909c0da056a1a99ece |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58dc0b608190b5c6aed5b6b034fd |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae599c6b288190b7e173ffc505c605 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a42675c8190a019034e8a6bda21 |
completed | March 9, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:44 p.m.