Triple
T2695740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espoo |
E58506
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Kalajärvi
Kalajärvi is a residential district in the northern part of Espoo, Finland, known for its lakeside environment and outdoor recreation areas.
|
E293483
|
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: Kalajärvi | Statement: [Espoo, hasDistrict, Kalajärvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalajärvi Context triple: [Espoo, hasDistrict, Kalajärvi]
-
A.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
B.
Siilinjärvi
Siilinjärvi is a municipality in Eastern Finland known for hosting Rissala Air Base and being part of the Kuopio region.
-
C.
Lahdenpohja
Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
-
D.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
-
E.
Kauhava
Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
- 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: Kalajärvi Triple: [Espoo, hasDistrict, Kalajärvi]
Generated description
Kalajärvi is a residential district in the northern part of Espoo, Finland, known for its lakeside environment and outdoor recreation areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalajärvi Target entity description: Kalajärvi is a residential district in the northern part of Espoo, Finland, known for its lakeside environment and outdoor recreation areas.
-
A.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
B.
Siilinjärvi
Siilinjärvi is a municipality in Eastern Finland known for hosting Rissala Air Base and being part of the Kuopio region.
-
C.
Lahdenpohja
Lahdenpohja is a small town in the Ladoga Karelia region of northwestern Russia, situated near the northern shores of Lake Ladoga.
-
D.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
-
E.
Kauhava
Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb67e21d481908ce4ec01603767bb |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb726182081909570e4cb7a364e4d |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb78f9d08819087d6f31fe1e4e61c |
completed | March 10, 2026, 6:17 a.m. |
Created at: March 6, 2026, 9:55 p.m.