Triple
T2295302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Airlines |
E51598
|
entity |
| Predicate | loyaltyProgram |
P178
|
FINISHED |
| Object |
Miles&Smiles
Miles&Smiles is Turkish Airlines’ frequent flyer loyalty program that rewards members with miles redeemable for flights, upgrades, and other travel benefits.
|
E253626
|
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: Miles&Smiles | Statement: [Turkish Airlines, loyaltyProgram, Miles&Smiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles&Smiles Context triple: [Turkish Airlines, loyaltyProgram, Miles&Smiles]
-
A.
Crest
Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
-
B.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
-
C.
Smiles
Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
-
D.
Doublemint
Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
-
E.
Smile Away
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
- 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: Miles&Smiles Triple: [Turkish Airlines, loyaltyProgram, Miles&Smiles]
Generated description
Miles&Smiles is Turkish Airlines’ frequent flyer loyalty program that rewards members with miles redeemable for flights, upgrades, and other travel benefits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miles&Smiles Target entity description: Miles&Smiles is Turkish Airlines’ frequent flyer loyalty program that rewards members with miles redeemable for flights, upgrades, and other travel benefits.
-
A.
Crest
Crest is a historic town in southeastern France’s Drôme department, best known for its medieval tower, one of the tallest castle keeps in Europe.
-
B.
Smilin'
"Smilin'" is a song by Australian singer-songwriter Gideon, known for its upbeat tone and emotive, melodic pop style.
-
C.
Smiles
Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
-
D.
Doublemint
Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
-
E.
Smile Away
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5dc40f881908a3dcc518bbead55 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f28db6c81909dbe55c704307da6 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fd6e8608190b48f3a50ee62d664 |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae804b402c81909a5fc68c6ee3decb |
completed | March 9, 2026, 8:09 a.m. |
Created at: March 4, 2026, 7:49 p.m.