Triple
T12577216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Päijät-Häme |
E300239
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Padasjoki
Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
|
E1196156
|
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: Padasjoki | Statement: [Päijät-Häme, contains, Padasjoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Padasjoki Context triple: [Päijät-Häme, contains, Padasjoki]
-
A.
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.
-
B.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
-
C.
Jokioinen
Jokioinen is a small Finnish municipality known for its agricultural research center and rural landscapes in the Tavastia Proper region.
-
D.
Seinäjoki
Seinäjoki is a city in Southern Ostrobothnia, Finland, known as a regional commercial and cultural center with distinctive modernist architecture by Alvar Aalto.
-
E.
Honkajoki
Honkajoki is a small rural municipality in western Finland known for its forests, agriculture, and location within the Satakunta region.
- 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: Padasjoki Triple: [Päijät-Häme, contains, Padasjoki]
Generated description
Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Padasjoki Target entity description: Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
-
A.
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.
-
B.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
-
C.
Jokioinen
Jokioinen is a small Finnish municipality known for its agricultural research center and rural landscapes in the Tavastia Proper region.
-
D.
Seinäjoki
Seinäjoki is a city in Southern Ostrobothnia, Finland, known as a regional commercial and cultural center with distinctive modernist architecture by Alvar Aalto.
-
E.
Honkajoki
Honkajoki is a small rural municipality in western Finland known for its forests, agriculture, and location within the Satakunta region.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a73c148190bba8f16b1232fd46 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff288ba908190a36c4784331d1e60 |
completed | May 10, 2026, 2:50 a.m. |
| NEDg | Description generation | batch_69fff3806ab08190b2450b0f1f4bfc3c |
completed | May 10, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3f2760c8190a58fedc2798614ae |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 9, 2026, 4:53 p.m.