Triple
T6662108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf Air |
E151500
|
entity |
| Predicate | frequentFlyerProgram |
P178
|
FINISHED |
| Object |
FalconFlyer
FalconFlyer is Gulf Air’s loyalty program that rewards frequent travelers with points, tier benefits, and travel-related privileges.
|
E608908
|
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: FalconFlyer | Statement: [Gulf Air, frequentFlyerProgram, FalconFlyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FalconFlyer Context triple: [Gulf Air, frequentFlyerProgram, FalconFlyer]
-
A.
Falcon
The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
-
B.
Falcon
Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
-
C.
Falcon
Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
-
D.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
E.
Eagle Talon
The Eagle Talon is a sporty compact coupe produced in the 1990s, known for its turbocharged performance and all-wheel-drive options as part of the Diamond-Star Motors collaboration.
- 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: FalconFlyer Triple: [Gulf Air, frequentFlyerProgram, FalconFlyer]
Generated description
FalconFlyer is Gulf Air’s loyalty program that rewards frequent travelers with points, tier benefits, and travel-related privileges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FalconFlyer Target entity description: FalconFlyer is Gulf Air’s loyalty program that rewards frequent travelers with points, tier benefits, and travel-related privileges.
-
A.
Falcon
The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
-
B.
Falcon
Falcon is a Marvel Comics superhero and member of the Avengers, known for his advanced winged flight suit and partnership with Captain America.
-
C.
Falcon
Falcon is a family of large language models designed for high-performance text generation and widely used in open-source AI applications.
-
D.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
E.
Eagle Talon
The Eagle Talon is a sporty compact coupe produced in the 1990s, known for its turbocharged performance and all-wheel-drive options as part of the Diamond-Star Motors collaboration.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b097e0e481909251443f9ce0b85a |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0a0c208190ac6a309bfb2e4e4b |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a3f0b481908dfe70d626277e8f |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a3995c8190b22766356b6e6bf8 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2:02 p.m.