Triple
T21000094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Airport, Fornebu |
E517261
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
FBU
FBU is the former IATA airport code for Oslo Airport, Fornebu, which served as Oslo’s main international airport until it was replaced by Oslo Airport, Gardermoen.
|
E1461969
|
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: FBU | Statement: [Oslo Airport, Fornebu, IATAcode, FBU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FBU Context triple: [Oslo Airport, Fornebu, IATAcode, FBU]
-
A.
FBU
FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
-
B.
FVBU
FVBU is the ICAO airport code for Joshua Mqabuko Nkomo International Airport in Bulawayo, Zimbabwe.
-
C.
FBL
FBL is the Faculty of Business and Law at Coventry University, offering business, management, and legal education and research.
-
D.
F.B.A.
F.B.A. is an abbreviated form of the term "FBA," commonly used to denote "Fulfillment by Amazon" in e-commerce contexts.
-
E.
FBB
FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
- 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: FBU Triple: [Oslo Airport, Fornebu, IATAcode, FBU]
Generated description
FBU is the former IATA airport code for Oslo Airport, Fornebu, which served as Oslo’s main international airport until it was replaced by Oslo Airport, Gardermoen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FBU Target entity description: FBU is the former IATA airport code for Oslo Airport, Fornebu, which served as Oslo’s main international airport until it was replaced by Oslo Airport, Gardermoen.
-
A.
FBU
FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
-
B.
FVBU
FVBU is the ICAO airport code for Joshua Mqabuko Nkomo International Airport in Bulawayo, Zimbabwe.
-
C.
FBL
FBL is the Faculty of Business and Law at Coventry University, offering business, management, and legal education and research.
-
D.
F.B.A.
F.B.A. is an abbreviated form of the term "FBA," commonly used to denote "Fulfillment by Amazon" in e-commerce contexts.
-
E.
FBB
FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b545f5081909152211b7e03bea1 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093e5b743881908dea54f627f2a220 |
completed | May 17, 2026, 4:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093ebe37cc8190961b02f8f12ce4b0 |
completed | May 17, 2026, 4:06 a.m. |
Created at: April 16, 2026, 1:52 p.m.