Triple
T15295358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bednja |
E365640
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Bednja (Croatian) |
E365640
|
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: Bednja (Croatian) | Statement: [Bednja, hasNameInLanguage, Bednja (Croatian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bednja (Croatian) Context triple: [Bednja, hasNameInLanguage, Bednja (Croatian)]
-
A.
Bednja
chosen
Bednja is a river in northern Croatia that flows through the Zagorje region before joining the Drava River.
-
B.
Baošići
Baošići is a coastal village in Montenegro situated along the scenic Bay of Kotor, known for its beaches and seaside tourism.
-
C.
Bosanski Šamac
Bosanski Šamac is a town and municipality in northern Bosnia and Herzegovina, located on the Sava River near the border with Croatia.
-
D.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
-
E.
Pivnički
Pivnički is a Serbian-origin surname notably borne by Mila Mulroney, the wife of former Canadian Prime Minister Brian Mulroney.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef81058c8190aec7c7ad9a68f569 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.