Triple
T4022272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surčin |
E91305
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Obrenovac |
E154527
|
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: Obrenovac | Statement: [Surčin, hasBorderWith, Obrenovac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obrenovac Context triple: [Surčin, hasBorderWith, Obrenovac]
-
A.
Obrenovac
chosen
Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
-
B.
Bunjevac
Bunjevac is a South Slavic ethnic group whose distinctive dialect and cultural traditions are recognized as a minority language in parts of Serbia and neighboring regions.
-
C.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
D.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
-
E.
Bačka Palanka
Bačka Palanka is a town in northern Serbia situated on the Danube River, known as an important regional center in the Bačka area.
- 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_69aefaccb2f48190a16a1ba6e938da85 |
completed | March 9, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b47294c8190871f4a6a57b3470f |
completed | March 14, 2026, 2:05 p.m. |
Created at: March 9, 2026, 3:35 p.m.