Triple
T4019564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Bačka District |
E91246
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Vrbas |
E416026
|
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: Vrbas | Statement: [South Bačka District, containsCity, Vrbas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vrbas Context triple: [South Bačka District, containsCity, Vrbas]
-
A.
Vrbas
chosen
Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
-
B.
Vrbas
Vrbas is a river in western Bosnia and Herzegovina that flows through cities like Banja Luka before joining the Sava River.
-
C.
Vukosava
Vukosava is known in Serbian medieval history as the mother of Saint Prince Lazar, the revered ruler and martyr of the Battle of Kosovo.
-
D.
Desna
Desna is a major river in Russia and Ukraine that flows southward to join the Dnieper, playing an important role in the region’s hydrology and history.
-
E.
West Morava
West Morava is a major river in central Serbia that serves as one of the two principal headwaters of the Velika Morava.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaab39d4819080e37cd175c89542 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a831b0408190a0862803844d779d |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 9, 2026, 3:35 p.m.