Triple
T12001421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Ostrobothnia |
E285671
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Alavus |
E816842
|
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: Alavus | Statement: [South Ostrobothnia, containsMunicipality, Alavus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alavus Context triple: [South Ostrobothnia, containsMunicipality, Alavus]
-
A.
Alavus
chosen
Alavus is a small town and municipality in the South Ostrobothnia region of western Finland, known for its lakes and rural landscapes.
-
B.
Vasastan
Vasastan is a central district in Stockholm, Sweden, known for its early 20th-century architecture, lively cafés, and residential character.
-
C.
Taunus region
The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
-
D.
Nummela
Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
-
E.
Tartumaa
Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4729eb4a081909d93b3fc74509d86 |
completed | May 1, 2026, 9:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.