Triple
T2630643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Nokia, Finland |
E59622
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Sastamala |
E128764
|
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: Sastamala | Statement: [Town of Nokia, Finland, hasNeighbouringMunicipality, Sastamala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sastamala Context triple: [Town of Nokia, Finland, hasNeighbouringMunicipality, Sastamala]
-
A.
Sastamala
chosen
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
B.
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.
-
C.
Kauriala
Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
-
D.
Luumäki
Luumäki is a rural municipality in South Karelia, southeastern Finland, known for its forests, lakes, and historical significance.
-
E.
Laitila
Laitila is a small town and municipality in southwestern Finland known for its rural landscapes and local food and beverage industries.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c567408190b94ff047efa4bc06 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb328a88190b0ef889cbbe3bea3 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:50 p.m.