Triple
T22579222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEL |
E544520
|
entity |
| Predicate | hasFanBaseIn |
P897
|
FINISHED |
| Object | Päijät-Häme region |
—
|
NE NERFINISHED |
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: Päijät-Häme region | Statement: [PEL, hasFanBaseIn, Päijät-Häme region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Päijät-Häme region Context triple: [PEL, hasFanBaseIn, Päijät-Häme region]
-
A.
Päijät-Häme
chosen
Päijät-Häme is a region in southern Finland known for its lakes, forests, and the city of Lahti as its main urban center.
-
B.
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.
-
C.
Keski-Suomi region
The Keski-Suomi region, also known as Central Finland, is an inland region of Finland centered around the city of Jyväskylä and characterized by its numerous lakes, forests, and role as a cultural and educational hub.
-
D.
Tampere region
The Tampere region is a major urban and economic area in southern Finland centered on the city of Tampere, known for its industry, technology, and cultural life.
-
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 (2 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fefa1308190876b617d47ba08f3 |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.