Triple
T20062097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuusjoki |
E499501
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Kuusjoki (Finnish) |
—
|
NE NERFINISHED |
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: Kuusjoki (Finnish) | Statement: [Kuusjoki, hasNameInLanguage, Kuusjoki (Finnish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuusjoki (Finnish) Context triple: [Kuusjoki, hasNameInLanguage, Kuusjoki (Finnish)]
-
A.
Kuusjoki
chosen
Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
-
B.
Kutujoki
Kutujoki is a river in Finland that serves as one of the tributaries feeding into the larger Oulujoki river system.
-
C.
Juupajoki
Juupajoki is a small rural municipality in the Pirkanmaa region of southern Finland, known for its forests, lakes, and traditional village landscapes.
-
D.
Tenniöjoki
Tenniöjoki is a river in northern Finland that serves as a significant tributary within the Kemijoki river system.
-
E.
Siikajoki
Siikajoki is a municipality in Northern Ostrobothnia, Finland, known for its rural landscape and location along the Siikajoki River near the Gulf of Bothnia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66376f2d4819081b9e1b265650e5b |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.