Triple
T9167981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanta-Häme |
E220011
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Humppila
Humppila is a small municipality in southern Finland known for its rural landscapes and glassmaking tradition.
|
E788518
|
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: Humppila | Statement: [Kanta-Häme, contains, Humppila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Humppila Context triple: [Kanta-Häme, contains, Humppila]
-
A.
Haapalainen
Haapalainen is a Finnish surname most notably borne by Eero Haapalainen, a Finnish politician and military leader active in the early 20th century.
-
B.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
-
C.
Pietilä
Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
-
D.
Ylppö
Ylppö is a Finnish surname most notably associated with Arvo Ylppö, a pioneering pediatrician who greatly advanced child healthcare in Finland.
-
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: Humppila Triple: [Kanta-Häme, contains, Humppila]
Generated description
Humppila is a small municipality in southern Finland known for its rural landscapes and glassmaking tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Humppila Target entity description: Humppila is a small municipality in southern Finland known for its rural landscapes and glassmaking tradition.
-
A.
Haapalainen
Haapalainen is a Finnish surname most notably borne by Eero Haapalainen, a Finnish politician and military leader active in the early 20th century.
-
B.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
-
C.
Pietilä
Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
-
D.
Ylppö
Ylppö is a Finnish surname most notably associated with Arvo Ylppö, a pioneering pediatrician who greatly advanced child healthcare in Finland.
-
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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaadfb50881909b9127f92e4b3e21 |
completed | April 1, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b7f95f88190af9c88105abb2964 |
completed | April 4, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69d09ca202f88190b21b89e61b1596ff |
completed | April 4, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09d914d688190af609c4485c746cc |
completed | April 4, 2026, 5:11 a.m. |
Created at: March 30, 2026, 7:22 p.m.