Triple
T13245856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Finland |
E315400
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Satakunta |
E217205
|
NE FINISHED |
How this triple was built (2 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: Satakunta | Statement: [Western Finland, hasPart, Satakunta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satakunta Context triple: [Western Finland, hasPart, Satakunta]
-
A.
Satakunta
chosen
Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
-
B.
Keski-Pohjanmaa
Keski-Pohjanmaa is a region in western Finland known for its coastal landscapes, rural communities, and strong Ostrobothnian cultural traditions.
-
C.
Päijät-Häme
Päijät-Häme is a region in southern Finland known for its lakes, forests, and the city of Lahti as its main urban center.
-
D.
Pohjois-Savo
Pohjois-Savo is a region in Eastern Finland known for its lakes, forests, and the regional center city of Kuopio.
-
E.
Kymenlaakso
Kymenlaakso is a region in southeastern Finland known for its industrial centers, coastal location along the Gulf of Finland, and historically significant role as a settlement area for evacuees from Karelia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5c09f88190bb1566a6d8c073a6 |
completed | April 10, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef87fbf4c81909a6326f555eb5777 |
completed | May 9, 2026, 9:03 a.m. |
Created at: April 9, 2026, 9:23 p.m.