Triple
T21000095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo Airport, Fornebu |
E517261
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ENFB
ENFB is the former ICAO airport code for Oslo Airport, Fornebu, which served as Oslo’s main international airport until it was replaced by Oslo Airport, Gardermoen.
|
E1461970
|
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: ENFB | Statement: [Oslo Airport, Fornebu, ICAOcode, ENFB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENFB Context triple: [Oslo Airport, Fornebu, ICAOcode, ENFB]
-
A.
ENF
ENF is the National Rail station code for Enfield Town railway station in north London.
-
B.
ENF
ENF is a former right-wing to far-right political group in the European Parliament composed of nationalist and Eurosceptic parties from various EU member states.
-
C.
ENHF
ENHF is the ICAO airport code assigned to Hammerfest Airport in Norway.
-
D.
EBFN
EBFN is the ICAO airport code for Koksijde Air Base, a military airfield in Belgium.
-
E.
ENA
ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
- 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: ENFB Triple: [Oslo Airport, Fornebu, ICAOcode, ENFB]
Generated description
ENFB is the former ICAO 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: ENFB Target entity description: ENFB is the former ICAO airport code for Oslo Airport, Fornebu, which served as Oslo’s main international airport until it was replaced by Oslo Airport, Gardermoen.
-
A.
ENF
ENF is the National Rail station code for Enfield Town railway station in north London.
-
B.
ENF
ENF is a former right-wing to far-right political group in the European Parliament composed of nationalist and Eurosceptic parties from various EU member states.
-
C.
ENHF
ENHF is the ICAO airport code assigned to Hammerfest Airport in Norway.
-
D.
EBFN
EBFN is the ICAO airport code for Koksijde Air Base, a military airfield in Belgium.
-
E.
ENA
ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
- 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.