Triple
T12971689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkkonummi |
E321412
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Siuntio |
E838826
|
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: Siuntio | Statement: [Kirkkonummi, adjacentTo, Siuntio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siuntio Context triple: [Kirkkonummi, adjacentTo, Siuntio]
-
A.
Siuntio
chosen
Siuntio is a small municipality in southern Finland known for its rural landscapes, historical manor houses, and proximity to the Helsinki metropolitan area.
-
B.
Smakt
Smakt is a small village in the Dutch province of Limburg, known for its rural character and proximity to the German border.
-
C.
Süßen
Süßen is a small town in the German state of Baden-Württemberg, situated in the Fils Valley and known for its local industry and residential character.
-
D.
Sabor
Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
-
E.
Sabor
Sabor is a river in northeastern Portugal that flows through the Trás-os-Montes region before joining the Douro River.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e418d548190be1c73db76cb3aa8 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ea91f08190b1daf6d05621acf9 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:36 p.m.