Triple
T5138439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Karelia Museum |
E115884
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lappeenranta |
E21221
|
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: Lappeenranta | Statement: [South Karelia Museum, locatedIn, Lappeenranta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lappeenranta Context triple: [South Karelia Museum, locatedIn, Lappeenranta]
-
A.
Lappeenranta
chosen
Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
-
B.
Lahti
Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
-
C.
Imatra
Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
-
D.
Lempäälä
Lempäälä is a municipality in the Pirkanmaa region of southern Finland, known for its lakeside landscapes and proximity to the city of Tampere.
-
E.
Kokkola
Kokkola is a coastal city in western Finland known for its maritime heritage and role as a military and naval hub.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787acd18819087f09db885893c3e |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf8bc2fa4c8190b2c62f30ba46a8b9 |
completed | March 22, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:43 p.m.