Triple
T15036907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Canada Rouge |
E378499
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
ROUGE
ROUGE is the callsign used by Air Canada Rouge, the leisure-focused subsidiary of Air Canada.
|
E1132740
|
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: ROUGE | Statement: [Air Canada Rouge, callsign, ROUGE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROUGE Context triple: [Air Canada Rouge, callsign, ROUGE]
-
A.
Rog
Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
-
B.
R.A.G.U.
R.A.G.U. is a track by Ghostface Killah from his critically acclaimed 2006 album "Fishscale," known for its vivid storytelling and gritty, cinematic production.
-
C.
Label Rouge
Label Rouge is a prestigious French quality mark awarded to food and agricultural products that demonstrate superior taste and production standards compared to conventional equivalents.
-
D.
Roqe
Roqe is a production company or producer best known for its work on the film "Liberation."
-
E.
RÜG
RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
- 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: ROUGE Triple: [Air Canada Rouge, callsign, ROUGE]
Generated description
ROUGE is the callsign used by Air Canada Rouge, the leisure-focused subsidiary of Air Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ROUGE Target entity description: ROUGE is the callsign used by Air Canada Rouge, the leisure-focused subsidiary of Air Canada.
-
A.
Rog
Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
-
B.
R.A.G.U.
R.A.G.U. is a track by Ghostface Killah from his critically acclaimed 2006 album "Fishscale," known for its vivid storytelling and gritty, cinematic production.
-
C.
Label Rouge
Label Rouge is a prestigious French quality mark awarded to food and agricultural products that demonstrate superior taste and production standards compared to conventional equivalents.
-
D.
Roqe
Roqe is a production company or producer best known for its work on the film "Liberation."
-
E.
RÜG
RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddfc13481909333690016650410 |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9e7e12488190972b383d66a2651e |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9f0dd1ac8190a802e9b388b9c770 |
completed | May 9, 2026, 2:42 a.m. |
Created at: April 10, 2026, 2:59 a.m.