Triple
T13572069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruovesi |
E324187
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Juupajoki |
E839772
|
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: Juupajoki | Statement: [Ruovesi, hasNeighboringMunicipality, Juupajoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juupajoki Context triple: [Ruovesi, hasNeighboringMunicipality, Juupajoki]
-
A.
Juupajoki
chosen
Juupajoki is a small rural municipality in the Pirkanmaa region of southern Finland, known for its forests, lakes, and traditional village landscapes.
-
B.
Kuusjoki
Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
-
C.
Kauhajoki
Kauhajoki is a town and municipality in western Finland known for its rural landscapes, agriculture, and small industrial base.
-
D.
Isojoki
Isojoki is a small rural municipality in western Finland known for its forests, lakes, and outdoor recreation opportunities.
-
E.
Eurajoki
Eurajoki is a municipality in western Finland, known for hosting the Olkiluoto nuclear power plant on the coast of the Gulf of Bothnia.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0106cb48190b20eb9bda131a68a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb827d48190958e5710d554cd04 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.