Triple
T21928939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Siikajoki |
E541516
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Siikajoki |
—
|
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: Siikajoki | Statement: [Battle of Siikajoki, location, Siikajoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siikajoki Context triple: [Battle of Siikajoki, location, Siikajoki]
-
A.
Siikajoki
chosen
Siikajoki is a municipality in Northern Ostrobothnia, Finland, known for its rural landscape and location along the Siikajoki River near the Gulf of Bothnia.
-
B.
Kuusjoki
Kuusjoki was a former municipality in Southwest Finland that later became part of the city of Salo.
-
C.
Karijoki
Karijoki is a small rural municipality in western Finland known for its agricultural landscape and quiet countryside.
-
D.
Ilmajoki
Ilmajoki is a rural municipality in Southern Ostrobothnia, western Finland, known for its agricultural landscape and strong local cultural traditions.
-
E.
Lumijoki
Lumijoki is a small rural municipality in northern Finland known for its flat landscapes, agriculture, and proximity to 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:47 p.m.