Triple
T3165725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthias Castrén |
E66206
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Tervola
Tervola is a small municipality in Finnish Lapland known for its rural landscapes and location along the Kemijoki River.
|
E333515
|
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: Tervola | Statement: [Matthias Castrén, placeOfBirth, Tervola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tervola Context triple: [Matthias Castrén, placeOfBirth, Tervola]
-
A.
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.
-
B.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
-
C.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
D.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
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: Tervola Triple: [Matthias Castrén, placeOfBirth, Tervola]
Generated description
Tervola is a small municipality in Finnish Lapland known for its rural landscapes and location along the Kemijoki River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tervola Target entity description: Tervola is a small municipality in Finnish Lapland known for its rural landscapes and location along the Kemijoki River.
-
A.
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.
-
B.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
-
C.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
D.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
-
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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6424ee48190a29891ffbbc3811d |
completed | March 8, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235dca2848190bc2a46d6dd1c9fc7 |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b236e4efe08190ade7c1cc4b941639 |
completed | March 12, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2375a75488190b3f2215c85d43f9c |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 8, 2026, 3:06 p.m.