Triple
T15618088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolubara |
E375470
|
entity |
| Predicate | flowsThrough |
P225
|
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: [Kolubara, flowsThrough, Obrenovac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obrenovac Context triple: [Kolubara, flowsThrough, 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.
Baćevac
Baćevac is a village located within the municipality of Barajevo in the Belgrade District of Serbia.
-
C.
Bujanovac
Bujanovac is a multiethnic town in southern Serbia known for its significant Albanian minority population and its location near the borders with North Macedonia and Kosovo.
-
D.
Branicevo
Branicevo is a historical region in the central Balkans, located in present-day eastern Serbia, that served as an important medieval political and cultural center.
-
E.
Leskovac
Leskovac is a city in southern Serbia known historically for its textile industry and its popular grilled meat (roštilj) festival.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebe275c819094473d37cf33c7d0 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:13 a.m.