Triple
T15678236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyväskylä railway station |
E377500
|
entity |
| Predicate | hasConnectionTo |
P845
|
FINISHED |
| Object |
Haapamäki
Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
|
E1171793
|
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: Haapamäki | Statement: [Jyväskylä railway station, hasConnectionTo, Haapamäki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haapamäki Context triple: [Jyväskylä railway station, hasConnectionTo, Haapamäki]
-
A.
Leivonmäki
Leivonmäki is a former rural municipality in Central Finland known for its forests, lakes, and the Leivonmäki National Park.
-
B.
Pieksämäki
Pieksämäki is a town in Southern Savonia, Finland, known as a regional transport hub with significant railway and road connections.
-
C.
Emi Koussi
Emi Koussi is a massive extinct volcano in northern Chad that forms the highest peak in the Sahara Desert.
-
D.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
-
E.
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.
- 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: Haapamäki Triple: [Jyväskylä railway station, hasConnectionTo, Haapamäki]
Generated description
Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haapamäki Target entity description: Haapamäki is a village in Keuruu, Finland, known as a historic railway junction and hub in the Finnish rail network.
-
A.
Leivonmäki
Leivonmäki is a former rural municipality in Central Finland known for its forests, lakes, and the Leivonmäki National Park.
-
B.
Pieksämäki
Pieksämäki is a town in Southern Savonia, Finland, known as a regional transport hub with significant railway and road connections.
-
C.
Emi Koussi
Emi Koussi is a massive extinct volcano in northern Chad that forms the highest peak in the Sahara Desert.
-
D.
Laakso
Laakso is a residential district in Helsinki, Finland, known for its green areas and proximity to central neighborhoods like Meilahti.
-
E.
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.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2f1640819086efd5a73bb9734a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756da91c81908d73a081f51edebd |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff761a18e4819089a4a722884ded9c |
completed | May 9, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76c0f9c48190aff58b147c1ed12b |
completed | May 9, 2026, 6:02 p.m. |
Created at: April 10, 2026, 4:16 a.m.