Triple
T5643713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruokolahti |
E124330
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Taipalsaari |
E119254
|
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: Taipalsaari | Statement: [Ruokolahti, borders, Taipalsaari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taipalsaari Context triple: [Ruokolahti, borders, Taipalsaari]
-
A.
Taipalsaari
chosen
Taipalsaari is a rural municipality in South Karelia, southeastern Finland, known for its lake-rich landscapes along the shores of Lake Saimaa.
-
B.
Taivassalo
Taivassalo is a small coastal municipality in southwestern Finland known for its archipelago landscape and maritime heritage.
-
C.
Lauttasaari
Lauttasaari is an island district of Helsinki, Finland, known for its residential areas, seaside parks, and easy access to the city center.
-
D.
Vaajakoski
Vaajakoski is a district of the city of Jyväskylä in Central Finland, known for its lakeside setting and industrial history.
-
E.
Taipale
Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a7cd9c819087f86f60e8b65fc3 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d80396c81909e26da3b5ca5ea34 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.