Triple
T18194418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torslanda Airport |
E435620
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Torslanda
Torslanda is a district on the island of Hisingen in Gothenburg, Sweden, known historically for its former airport and for hosting major Volvo manufacturing facilities.
|
E1311279
|
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: Torslanda | Statement: [Torslanda Airport, locatedIn, Torslanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torslanda Context triple: [Torslanda Airport, locatedIn, Torslanda]
-
A.
Torsåker
Torsåker is a small locality in central Sweden known for its rural character and historical ties to the surrounding Hofors area.
-
B.
Torsby
Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
-
C.
Torsö
Torsö is a large inhabited island in Sweden’s Lake Vänern, known for its rural landscapes and recreational opportunities.
-
D.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
-
E.
Norsborg
Norsborg is a suburban district in Botkyrka Municipality, southwest of central Stockholm, Sweden, known as the terminus area of the Stockholm metro’s red line.
- 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: Torslanda Triple: [Torslanda Airport, locatedIn, Torslanda]
Generated description
Torslanda is a district on the island of Hisingen in Gothenburg, Sweden, known historically for its former airport and for hosting major Volvo manufacturing facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torslanda Target entity description: Torslanda is a district on the island of Hisingen in Gothenburg, Sweden, known historically for its former airport and for hosting major Volvo manufacturing facilities.
-
A.
Torsåker
Torsåker is a small locality in central Sweden known for its rural character and historical ties to the surrounding Hofors area.
-
B.
Torsby
Torsby is a small town in Värmland County, Sweden, known for its strong motorsport culture and role as a former base for Rally Sweden.
-
C.
Torsö
Torsö is a large inhabited island in Sweden’s Lake Vänern, known for its rural landscapes and recreational opportunities.
-
D.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
-
E.
Norsborg
Norsborg is a suburban district in Botkyrka Municipality, southwest of central Stockholm, Sweden, known as the terminus area of the Stockholm metro’s red line.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d1eb1c81908c20b6d15e9c4e8e |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980b347c819095efe75ae5ceeebb |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0399521adc81908b3496c0168afe5d |
completed | May 12, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a1d66c081908ee33c6d503b0dad |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.