Triple
T3879650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bačka |
E92788
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Novi Sad |
E70533
|
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: Novi Sad | Statement: [Bačka, contains, Novi Sad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novi Sad Context triple: [Bačka, contains, Novi Sad]
-
A.
Novi Sad
chosen
Novi Sad is Serbia’s second-largest city and the cultural and economic center of the northern Vojvodina region, known for its historic architecture and the EXIT music festival.
-
B.
Kragujevac
Kragujevac is a central Serbian city historically significant as an early capital and industrial and cultural hub of the country.
-
C.
Belgrade
Belgrade is the capital and largest city of Serbia, historically significant as a strategic crossroads between Central Europe and the Balkans on the confluence of the Sava and Danube rivers.
-
D.
Jagodina
Jagodina is a city in central Serbia known as a regional industrial and cultural center, featuring attractions such as a popular zoo, aqua park, and museums.
-
E.
Novi Beograd
Novi Beograd is a large modern municipality of Belgrade known for its planned urban layout, wide boulevards, and extensive residential and business districts on the left bank of the Sava River.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec7438808190b6c90fcb3000ebe9 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512568ba48190a820fcda9b472701 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.