Triple
T13253773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurmijärvi |
E315603
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Rajamäki
Rajamäki is a village and urban area in southern Finland that forms part of the municipality of Nurmijärvi.
|
E1050166
|
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: Rajamäki | Statement: [Nurmijärvi, hasSettlement, Rajamäki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajamäki Context triple: [Nurmijärvi, hasSettlement, Rajamäki]
-
A.
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.
-
B.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
-
C.
Veikkola
Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
-
D.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
E.
Tammela
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
- 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: Rajamäki Triple: [Nurmijärvi, hasSettlement, Rajamäki]
Generated description
Rajamäki is a village and urban area in southern Finland that forms part of the municipality of Nurmijärvi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rajamäki Target entity description: Rajamäki is a village and urban area in southern Finland that forms part of the municipality of Nurmijärvi.
-
A.
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.
-
B.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
-
C.
Veikkola
Veikkola is a village in southern Finland that forms part of the municipality of Kirkkonummi in the Uusimaa region.
-
D.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
E.
Tammela
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7846008190aa27fafe19056807 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f78097e1c08190b6e201d528d12af9 |
completed | May 3, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7812aa15081909793181722f9d442 |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 9, 2026, 9:24 p.m.