Triple
T10413724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Airlines Miles&Smiles Elite |
E245459
|
entity |
| Predicate | programName |
P9004
|
FINISHED |
| Object | Miles&Smiles |
E253626
|
NE FINISHED |
How this triple was built (2 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 Miles&Smiles Elite, programName, Miles&Smiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles&Smiles Context triple: [Turkish Airlines Miles&Smiles Elite, programName, Miles&Smiles]
-
A.
Miles&Smiles
chosen
Miles&Smiles is Turkish Airlines’ frequent flyer loyalty program that rewards members with miles redeemable for flights, upgrades, and other travel benefits.
-
B.
Smilez
Smilez is a musical artist known for collaborating on the track "TattleTales."
-
C.
Special Smiles
Special Smiles is a Healthy Athletes program component that provides dental screenings, education, and referrals to improve oral health for Special Olympics athletes.
-
D.
Muldental
Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
-
E.
Colgate Thirteen
Colgate Thirteen is a renowned all-male a cappella group from Colgate University known for performing at high-profile events, including the national anthem at Super Bowl XIII.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc043074819083d219ec1c40f931 |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:10 p.m.