Triple
T7034479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E63 |
E163346
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Suonenjoki |
E203350
|
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: Suonenjoki | Statement: [European route E63, passesThrough, Suonenjoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suonenjoki Context triple: [European route E63, passesThrough, Suonenjoki]
-
A.
Suonenjoki
chosen
Suonenjoki is a small town and municipality in the Northern Savonia region of Finland, known for its rural landscapes and berry cultivation.
-
B.
Kuusjoki
Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
-
C.
Sanginjoki
Sanginjoki is a river in northern Finland that serves as one of the tributaries feeding into the larger Oulujoki watercourse.
-
D.
Ounasjoki
Ounasjoki is a major river in Finnish Lapland known for its largely unregulated, natural course and importance to the region’s ecosystems and traditional livelihoods.
-
E.
Tourujoki
Tourujoki is a small river in central Finland that flows through the city of Jyväskylä and into Lake Päijänne.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e212e28c8190bf38ce9a25d2032e |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8379d88190b91b820851d1049a |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:36 p.m.