Triple
T13512720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valtion Lentokonetehdas |
E322677
|
entity |
| Predicate | designedAircraft |
P31176
|
FINISHED |
| Object |
VL Sääski
VL Sääski was a Finnish two-seat trainer and liaison aircraft from the interwar period, developed for the Finnish Air Force.
|
E1044947
|
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: VL Sääski | Statement: [Valtion Lentokonetehdas, designedAircraft, VL Sääski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VL Sääski Context triple: [Valtion Lentokonetehdas, designedAircraft, VL Sääski]
-
A.
VL Viima
The VL Viima is a Finnish two-seat biplane trainer aircraft used primarily for pilot training in the 1930s and 1940s.
-
B.
Virtanen
Virtanen is a common Finnish surname borne by numerous notable individuals across fields such as science, sports, and the arts.
-
C.
Vaino
Vaino is a given name, likely a variant or transliteration of the Finnish name Väinö, used as a personal first name.
-
D.
Ilmari
Ilmari is a Finnish given name, notably borne by Nobel Prize–winning biochemist A. I. Virtanen.
-
E.
Veikkola
Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
- 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: VL Sääski Triple: [Valtion Lentokonetehdas, designedAircraft, VL Sääski]
Generated description
VL Sääski was a Finnish two-seat trainer and liaison aircraft from the interwar period, developed for the Finnish Air Force.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VL Sääski Target entity description: VL Sääski was a Finnish two-seat trainer and liaison aircraft from the interwar period, developed for the Finnish Air Force.
-
A.
VL Viima
The VL Viima is a Finnish two-seat biplane trainer aircraft used primarily for pilot training in the 1930s and 1940s.
-
B.
Virtanen
Virtanen is a common Finnish surname borne by numerous notable individuals across fields such as science, sports, and the arts.
-
C.
Vaino
Vaino is a given name, likely a variant or transliteration of the Finnish name Väinö, used as a personal first name.
-
D.
Ilmari
Ilmari is a Finnish given name, notably borne by Nobel Prize–winning biochemist A. I. Virtanen.
-
E.
Veikkola
Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75492676c81909602745e2b6436cb |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f7555173d08190be887e81c148192e |
completed | May 3, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f756773b9c81908250ae7ffc2d8d99 |
completed | May 3, 2026, 2:06 p.m. |
Created at: April 9, 2026, 9:44 p.m.