Triple
T9639794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rusko |
E233032
|
entity |
| Predicate | proximityTo |
P350
|
FINISHED |
| Object | city of Turku |
E90238
|
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: city of Turku | Statement: [Rusko, proximityTo, city of Turku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Turku Context triple: [Rusko, proximityTo, city of Turku]
-
A.
Turku
chosen
Turku is one of Finland’s oldest and historically most important cities, located on the southwest coast and known for its medieval heritage and major Baltic Sea port.
-
B.
City of Kauniainen
The City of Kauniainen is a small, affluent municipality completely surrounded by Espoo in the Helsinki metropolitan area of Finland, known for its high quality of life and strong public services.
-
C.
Porvoo
Porvoo is a historic coastal city in southern Finland known for its well-preserved wooden Old Town and medieval cathedral.
-
D.
Tampere
Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
-
E.
Naantali
Naantali is a coastal town in southwestern Finland known for its historic wooden old town, spa traditions, and the popular Moomin World theme park.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b532aa4819087b56be6f5635126 |
completed | April 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18248ffe4819095d4ea20951eca01 |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.