Triple
T9529642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pielavesi |
E229853
|
entity |
| Predicate | hasNameInFinnish |
P23453
|
FINISHED |
| Object | Pielavesi |
E229853
|
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: Pielavesi | Statement: [Pielavesi, hasNameInFinnish, Pielavesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pielavesi Context triple: [Pielavesi, hasNameInFinnish, Pielavesi]
-
A.
Pielavesi
chosen
Pielavesi is a rural municipality in Northern Savonia, Finland, best known as the birthplace of long-serving Finnish president Urho Kekkonen.
-
B.
Lielupe
Lielupe is a major river in central Latvia that flows into the Gulf of Riga and is known for its wide floodplain and role in regional agriculture and transport.
-
C.
Plungė
Plungė is a town in northwestern Lithuania that serves as an important cultural and economic center of the Samogitia region.
-
D.
Preila
Preila is a small Lithuanian resort village on the Curonian Spit, known for its tranquil beaches, pine forests, and traditional wooden architecture.
-
E.
Pļaviņas
Pļaviņas is a town in Latvia situated on the Daugava River, known for its proximity to the Pļaviņas Hydroelectric Power Plant and its role as a local administrative and transport 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b1b93481909812245ac14e4988 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c38a3848190ab3561f70497c9eb |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 8 p.m.