Triple
T22041661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bosna River |
E544649
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Kakanj |
—
|
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: Kakanj | Statement: [Bosna River, flowsThrough, Kakanj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kakanj Context triple: [Bosna River, flowsThrough, Kakanj]
-
A.
Kakanj
chosen
Kakanj is an industrial town in central Bosnia and Herzegovina known for its coal mining and cement production.
-
B.
Čakovec
Čakovec is a historic town in northern Croatia, known as the administrative center of Međimurje County and for its medieval castle and cultural heritage.
-
C.
Ozalj
Ozalj is a historic town in central Croatia known for its medieval castle and picturesque setting near the confluence of the Kupa and Dobra rivers.
-
D.
Bjelovar
Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
-
E.
Krupanj
Krupanj is a small town in western Serbia known for its mountainous surroundings, mining history, and role in World War I.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12829c1c081909edc7544242c9c7a |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.