Triple
T12971694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkkonummi |
E321412
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Veikkola
Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
|
E1020836
|
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: Veikkola | Statement: [Kirkkonummi, hasSettlement, Veikkola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veikkola Context triple: [Kirkkonummi, hasSettlement, Veikkola]
-
A.
Erkkola
Erkkola is a historic Finnish artist’s home and museum on the shore of Lake Tuusulanjärvi, associated with the country’s national cultural heritage.
-
B.
Särkisalo
Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
-
C.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
D.
Väinö
Väinö is a Finnish masculine given name historically borne by several notable figures in politics, arts, and sports in Finland.
-
E.
Poitevin
Poitevin is a Romance language and regional cultural identity from the Poitou area of western France, closely related to other langues d’oïl.
- 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: Veikkola Triple: [Kirkkonummi, hasSettlement, Veikkola]
Generated description
Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veikkola Target entity description: Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
-
A.
Erkkola
Erkkola is a historic Finnish artist’s home and museum on the shore of Lake Tuusulanjärvi, associated with the country’s national cultural heritage.
-
B.
Särkisalo
Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
-
C.
Kukkonen
Kukkonen is a Finnish surname most notably associated with Greta Kukkonen, the first wife of U.S. President Ronald Reagan.
-
D.
Väinö
Väinö is a Finnish masculine given name historically borne by several notable figures in politics, arts, and sports in Finland.
-
E.
Poitevin
Poitevin is a Romance language and regional cultural identity from the Poitou area of western France, closely related to other langues d’oïl.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f4bedc81909b8dfa79a842e12d |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6da5695508190a96ca16a4e5c01ee |
completed | May 3, 2026, 5:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6daeae96081908f6d9cda3ff7f961 |
completed | May 3, 2026, 5:19 a.m. |
Created at: April 9, 2026, 8:36 p.m.