Triple
T6928066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen Airport, Flesland |
E160361
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
BGO
BGO is the three-letter IATA airport code for Bergen Airport, Flesland, serving the city of Bergen in Norway.
|
E629360
|
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: BGO | Statement: [Bergen Airport, Flesland, IATAcode, BGO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BGO Context triple: [Bergen Airport, Flesland, IATAcode, BGO]
-
A.
GBO
GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
-
B.
Gobo
Gobo is a coastal city in Japan known for its fishing industry and location in Wakayama Prefecture on the Kii Peninsula.
-
C.
BOG
BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
-
D.
G-blokka
G-blokka is a central Norwegian government office building in Oslo’s Government Quarter, historically housing key ministries and administrative functions.
-
E.
BG
BG is the vehicle registration code used for Belgrade, the capital city of Serbia.
- 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: BGO Triple: [Bergen Airport, Flesland, IATAcode, BGO]
Generated description
BGO is the three-letter IATA airport code for Bergen Airport, Flesland, serving the city of Bergen in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BGO Target entity description: BGO is the three-letter IATA airport code for Bergen Airport, Flesland, serving the city of Bergen in Norway.
-
A.
GBO
GBO is the common abbreviation used for the Greensboro Grasshoppers minor league baseball team.
-
B.
Gobo
Gobo is a coastal city in Japan known for its fishing industry and location in Wakayama Prefecture on the Kii Peninsula.
-
C.
BOG
BOG is the IATA airport code for El Dorado International Airport, the main international gateway serving Bogotá, Colombia.
-
D.
G-blokka
G-blokka is a central Norwegian government office building in Oslo’s Government Quarter, historically housing key ministries and administrative functions.
-
E.
BG
BG is the vehicle registration code used for Belgrade, the capital city of Serbia.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1de28881908579bc198e74203e |
completed | March 27, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7514359148190b87b39efc8e714a8 |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c75237fe1c81909e3956160bf48b5e |
completed | March 28, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c752a0a230819088e025c96457eff0 |
completed | March 28, 2026, 4:01 a.m. |
Created at: March 27, 2026, 2:27 p.m.