Triple
T15755484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian airspace |
E381956
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tromsø TMA
Tromsø TMA is a controlled terminal airspace sector in northern Norway that manages arriving and departing air traffic for the Tromsø area.
|
E1177727
|
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: Tromsø TMA | Statement: [Norwegian airspace, contains, Tromsø TMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tromsø TMA Context triple: [Norwegian airspace, contains, Tromsø TMA]
-
A.
Trondheim TMA
Trondheim TMA is a controlled terminal airspace sector surrounding Trondheim Airport in Norway, managing arriving and departing air traffic in the region.
-
B.
Tromsø
Tromsø is a city in northern Norway known for its Arctic location, vibrant cultural scene, and prominence as a viewing spot for the Northern Lights.
-
C.
Torshov
Torshov is a residential neighborhood in Oslo, Norway, known for its early 20th-century architecture, green spaces, and vibrant local culture.
-
D.
Sogndal
Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
-
E.
Smestad
Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
- 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: Tromsø TMA Triple: [Norwegian airspace, contains, Tromsø TMA]
Generated description
Tromsø TMA is a controlled terminal airspace sector in northern Norway that manages arriving and departing air traffic for the Tromsø area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tromsø TMA Target entity description: Tromsø TMA is a controlled terminal airspace sector in northern Norway that manages arriving and departing air traffic for the Tromsø area.
-
A.
Trondheim TMA
Trondheim TMA is a controlled terminal airspace sector surrounding Trondheim Airport in Norway, managing arriving and departing air traffic in the region.
-
B.
Tromsø
Tromsø is a city in northern Norway known for its Arctic location, vibrant cultural scene, and prominence as a viewing spot for the Northern Lights.
-
C.
Torshov
Torshov is a residential neighborhood in Oslo, Norway, known for its early 20th-century architecture, green spaces, and vibrant local culture.
-
D.
Sogndal
Sogndal is a village and municipality in Vestland county, Norway, known for its scenic fjord landscape, agriculture, and as a regional education and service center.
-
E.
Smestad
Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b1ff4881909d5240d1d30f5c8b |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9096d65c81908755cae83cc48e61 |
completed | May 9, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69ff929442748190a8c5df31e6730046 |
completed | May 9, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff935e5d3881908215b6f45b7b6bf5 |
completed | May 9, 2026, 8:04 p.m. |
Created at: April 10, 2026, 4:47 a.m.