Triple
T13843111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Bee |
E332715
|
entity |
| Predicate | airlineCodeType |
P12360
|
FINISHED |
| Object |
IATA BF
IATA BF is the two-letter airline designator assigned to the French low-cost long-haul carrier French Bee.
|
E1064320
|
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: IATA BF | Statement: [French Bee, airlineCodeType, IATA BF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IATA BF Context triple: [French Bee, airlineCodeType, IATA BF]
-
A.
BA CityFlyer
BA CityFlyer is a British regional airline operating short-haul services, primarily from London City Airport, under the British Airways brand.
-
B.
IATA: ME
IATA: ME is the two-letter airline designator assigned by the International Air Transport Association to Middle East Airlines, the flag carrier of Lebanon.
-
C.
IATA OMA
IATA OMA is the three-letter airport code assigned by the International Air Transport Association to Eppley Airfield in Omaha, Nebraska, USA.
-
D.
airBaltic
airBaltic is the flag carrier airline of Latvia, operating a network of flights across Europe and beyond from its main hub in Riga.
-
E.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
- 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: IATA BF Triple: [French Bee, airlineCodeType, IATA BF]
Generated description
IATA BF is the two-letter airline designator assigned to the French low-cost long-haul carrier French Bee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IATA BF Target entity description: IATA BF is the two-letter airline designator assigned to the French low-cost long-haul carrier French Bee.
-
A.
BA CityFlyer
BA CityFlyer is a British regional airline operating short-haul services, primarily from London City Airport, under the British Airways brand.
-
B.
IATA: ME
IATA: ME is the two-letter airline designator assigned by the International Air Transport Association to Middle East Airlines, the flag carrier of Lebanon.
-
C.
IATA OMA
IATA OMA is the three-letter airport code assigned by the International Air Transport Association to Eppley Airfield in Omaha, Nebraska, USA.
-
D.
airBaltic
airBaltic is the flag carrier airline of Latvia, operating a network of flights across Europe and beyond from its main hub in Riga.
-
E.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
| NEDg | Description generation | batch_69f7b9da1f848190a0c7e8d8a2b0954d |
completed | May 3, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7bbf47c888190be32a4105903120a |
completed | May 3, 2026, 9:19 p.m. |
Created at: April 9, 2026, 10:13 p.m.