Triple
T6621895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hokksund |
E149693
|
entity |
| Predicate | nearbyAirport |
P350
|
FINISHED |
| Object |
Hokksund Airport
Hokksund Airport is a small general aviation airfield serving the town of Hokksund in Norway.
|
E607396
|
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: Hokksund Airport | Statement: [Hokksund, nearbyAirport, Hokksund Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hokksund Airport Context triple: [Hokksund, nearbyAirport, Hokksund Airport]
-
A.
Spilve Airport
Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
-
B.
Akure Airport
Akure Airport is a domestic airport serving the city of Akure and the surrounding Ondo State region in southwestern Nigeria.
-
C.
Torslanda Airport
Torslanda Airport was the former main airport serving Gothenburg, Sweden, before being superseded by Gothenburg Landvetter Airport.
-
D.
Ørland Airport
Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen region.
-
E.
Hammerfest Airport
Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
- 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: Hokksund Airport Triple: [Hokksund, nearbyAirport, Hokksund Airport]
Generated description
Hokksund Airport is a small general aviation airfield serving the town of Hokksund in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hokksund Airport Target entity description: Hokksund Airport is a small general aviation airfield serving the town of Hokksund in Norway.
-
A.
Spilve Airport
Spilve Airport is a historic former main airport of Riga, Latvia, which served as the city’s primary airfield before operations moved to Riga International Airport.
-
B.
Akure Airport
Akure Airport is a domestic airport serving the city of Akure and the surrounding Ondo State region in southwestern Nigeria.
-
C.
Torslanda Airport
Torslanda Airport was the former main airport serving Gothenburg, Sweden, before being superseded by Gothenburg Landvetter Airport.
-
D.
Ørland Airport
Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen region.
-
E.
Hammerfest Airport
Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7ccaa481908b383b4fd671fa78 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e448b00081908b336a2bd7fb3820 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e5b236888190b108de51c730179a |
completed | March 27, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e7ce9aa88190abd000a13c00a070 |
completed | March 27, 2026, 8:25 p.m. |
Created at: March 27, 2026, 1:58 p.m.