Triple
T6928067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergen Airport, Flesland |
E160361
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ENBR
ENBR is the ICAO airport code for Bergen Airport, Flesland, the main international airport serving Bergen, Norway.
|
E629361
|
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: ENBR | Statement: [Bergen Airport, Flesland, ICAOcode, ENBR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENBR Context triple: [Bergen Airport, Flesland, ICAOcode, ENBR]
-
A.
ENBA
ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
-
B.
Enz
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
-
C.
EBBR
EBBR is the ICAO airport code for Brussels Airport, the main international airport serving Brussels, Belgium.
-
D.
ENRD
ENRD is the Environment and Natural Resources Division of the U.S. Department of Justice, responsible for litigating environmental and natural resource-related cases on behalf of the federal government.
-
E.
Envall
Envall is a Swedish surname most notably associated with automotive designer Björn Envall.
- 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: ENBR Triple: [Bergen Airport, Flesland, ICAOcode, ENBR]
Generated description
ENBR is the ICAO airport code for Bergen Airport, Flesland, the main international airport serving Bergen, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ENBR Target entity description: ENBR is the ICAO airport code for Bergen Airport, Flesland, the main international airport serving Bergen, Norway.
-
A.
ENBA
ENBA is the commonly used abbreviation for the Escola Nacional de Belas Artes, a prominent national fine arts school.
-
B.
Enz
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
-
C.
EBBR
EBBR is the ICAO airport code for Brussels Airport, the main international airport serving Brussels, Belgium.
-
D.
ENRD
ENRD is the Environment and Natural Resources Division of the U.S. Department of Justice, responsible for litigating environmental and natural resource-related cases on behalf of the federal government.
-
E.
Envall
Envall is a Swedish surname most notably associated with automotive designer Björn Envall.
- 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.