Triple
T17822059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuokkala |
E445009
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Nenäinniemi
Nenäinniemi is a residential district in the city of Jyväskylä, Finland, located within the larger area of Kuokkala.
|
E1289241
|
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: Nenäinniemi | Statement: [Kuokkala, hasSubdivision, Nenäinniemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nenäinniemi Context triple: [Kuokkala, hasSubdivision, Nenäinniemi]
-
A.
Tuusniemi
Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
-
B.
Niittykumpu
Niittykumpu is a district and metro station area in Espoo, Finland, served by the western extension of the Helsinki Metro.
-
C.
Mäntyniemi
Mäntyniemi is the official residence of the President of Finland, located in the Meilahti district of Helsinki.
-
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.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
- 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: Nenäinniemi Triple: [Kuokkala, hasSubdivision, Nenäinniemi]
Generated description
Nenäinniemi is a residential district in the city of Jyväskylä, Finland, located within the larger area of Kuokkala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nenäinniemi Target entity description: Nenäinniemi is a residential district in the city of Jyväskylä, Finland, located within the larger area of Kuokkala.
-
A.
Tuusniemi
Tuusniemi is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
-
B.
Niittykumpu
Niittykumpu is a district and metro station area in Espoo, Finland, served by the western extension of the Helsinki Metro.
-
C.
Mäntyniemi
Mäntyniemi is the official residence of the President of Finland, located in the Meilahti district of Helsinki.
-
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.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48911b660819097fc7ea94665a02a |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff69f02c81908a7b6b8b564cceec |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03000abe908190a4f4835f348aa544 |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300e885e481909c76dfbac2fd1009 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:15 a.m.