Triple
T4376847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothenburg Landvetter Airport |
E99027
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Landvetter
Landvetter is a locality in western Sweden that serves as a key transport hub for the Gothenburg region, best known for hosting Gothenburg Landvetter Airport.
|
E435616
|
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: Landvetter | Statement: [Gothenburg Landvetter Airport, locatedIn, Landvetter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landvetter Context triple: [Gothenburg Landvetter Airport, locatedIn, Landvetter]
-
A.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
B.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
C.
Torvastad
Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
-
D.
Vallader
Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
-
E.
Espevær
Espevær is a small island and fishing village in Vestland county, Norway, known for its traditional coastal culture and scenic maritime environment.
- 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: Landvetter Triple: [Gothenburg Landvetter Airport, locatedIn, Landvetter]
Generated description
Landvetter is a locality in western Sweden that serves as a key transport hub for the Gothenburg region, best known for hosting Gothenburg Landvetter Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Landvetter Target entity description: Landvetter is a locality in western Sweden that serves as a key transport hub for the Gothenburg region, best known for hosting Gothenburg Landvetter Airport.
-
A.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
B.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
C.
Torvastad
Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
-
D.
Vallader
Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
-
E.
Espevær
Espevær is a small island and fishing village in Vestland county, Norway, known for its traditional coastal culture and scenic maritime environment.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e51907688190ad964d341eb84529 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e5d675808190a5a9767f253f0178 |
completed | March 14, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e66837e081908ac5a0079485cd18 |
completed | March 14, 2026, 10:51 p.m. |
Created at: March 12, 2026, 11:18 p.m.