Triple
T12159020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Finland |
E289654
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Leivonmäki
Leivonmäki is a former rural municipality in Central Finland known for its forests, lakes, and the Leivonmäki National Park.
|
E967089
|
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: Leivonmäki | Statement: [Central Finland, hasMunicipality, Leivonmäki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leivonmäki Context triple: [Central Finland, hasMunicipality, Leivonmäki]
-
A.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
B.
Kokemäki
Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
-
C.
Pieksämäki
Pieksämäki is a town in Southern Savonia, Finland, known as a regional transport hub with significant railway and road connections.
-
D.
Emi Koussi
Emi Koussi is a massive extinct volcano in northern Chad that forms the highest peak in the Sahara Desert.
-
E.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
- 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: Leivonmäki Triple: [Central Finland, hasMunicipality, Leivonmäki]
Generated description
Leivonmäki is a former rural municipality in Central Finland known for its forests, lakes, and the Leivonmäki National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leivonmäki Target entity description: Leivonmäki is a former rural municipality in Central Finland known for its forests, lakes, and the Leivonmäki National Park.
-
A.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
B.
Kokemäki
Kokemäki is a small town and municipality in the Satakunta region of western Finland, known for its location along the Kokemäenjoki River and its historical roots dating back to medieval times.
-
C.
Pieksämäki
Pieksämäki is a town in Southern Savonia, Finland, known as a regional transport hub with significant railway and road connections.
-
D.
Emi Koussi
Emi Koussi is a massive extinct volcano in northern Chad that forms the highest peak in the Sahara Desert.
-
E.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69e8498819080d571e6fb4edfde |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f601e0777081909e1212436680a10d |
completed | May 2, 2026, 1:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f602a21f948190849839301f49d55a |
completed | May 2, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:50 p.m.