Triple
T4875624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šabac District |
E109195
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Loznica |
E423166
|
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: Loznica | Statement: [Šabac District, hasMajorCity, Loznica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loznica Context triple: [Šabac District, hasMajorCity, Loznica]
-
A.
Loznica
chosen
Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
-
B.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
-
C.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
D.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
-
E.
Obrenovac
Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dba3efc8190adcf8b30490b4984 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81b60ea48190ae8cd7ef9c30a388 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:27 p.m.