Triple
T11955796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyväskylän maalaiskunta |
E284548
|
entity |
| Predicate | locatedInHistoricalProvince |
P5057
|
FINISHED |
| Object | Häme |
E220011
|
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: Häme | Statement: [Jyväskylän maalaiskunta, locatedInHistoricalProvince, Häme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Häme Context triple: [Jyväskylän maalaiskunta, locatedInHistoricalProvince, Häme]
-
A.
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.
-
B.
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.
-
C.
Satakunta
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.
-
D.
Kanta-Häme
chosen
Kanta-Häme is a region in southern Finland known for its historic towns, lakes, and forests, with Hämeenlinna as its central city.
-
E.
Keski-Pohjanmaa
Keski-Pohjanmaa is a region in western Finland known for its coastal landscapes, rural communities, and strong Ostrobothnian cultural traditions.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90366fda8819083168c93abad27d4 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27ee6ff881909fb0d1590580c4e8 |
completed | May 8, 2026, 12:01 a.m. |
Created at: April 8, 2026, 9:45 p.m.