Triple
T6859083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bohemian Forest |
E158225
|
entity |
| Predicate | drainedBy |
P165
|
FINISHED |
| Object | Otava |
E386566
|
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: Otava | Statement: [Bohemian Forest, drainedBy, Otava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otava Context triple: [Bohemian Forest, drainedBy, Otava]
-
A.
Otava
chosen
Otava is a major river in the Czech Republic that flows through southwestern Bohemia and is known for its scenic valleys, historical towns, and popularity for canoeing and recreation.
-
B.
Kerava
Kerava is a small city in southern Finland known as a commuter town within the Greater Helsinki region.
-
C.
Loviisa
Loviisa is a small coastal town and municipality in southern Finland known for its historic wooden houses, seaside location, and nuclear power plant.
-
D.
Pirkkala
Pirkkala is a municipality in the Pirkanmaa region of southern Finland, located near the city of Tampere and known for its growing residential areas and proximity to Tampere-Pirkkala Airport.
-
E.
Imatra
Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8720bd48190adb446130a03d2bf |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fe79af081909baacbfd4d5e8f24 |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:21 p.m.