Triple
T13253788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurmijärvi |
E315603
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Vantaanjoki |
E1030983
|
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: Vantaanjoki | Statement: [Nurmijärvi, hasRiver, Vantaanjoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vantaanjoki Context triple: [Nurmijärvi, hasRiver, Vantaanjoki]
-
A.
Kuusjoki
Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
-
B.
Ilmajoki
Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
-
C.
Porvoonjoki
Porvoonjoki is a river in southern Finland that flows through the historic town of Porvoo before emptying into the Gulf of Finland.
-
D.
Keravanjoki
chosen
Keravanjoki is a river in southern Finland that flows through the town of Kerava before joining the Vantaa River.
-
E.
Tarvasjoki
Tarvasjoki is a small former municipality in southwestern Finland known for its rural landscape and proximity to the city of Turku.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c90c5c8190a6de94b92db12210 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:24 p.m.