Triple
T15609559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern and Eastern Serbia region |
E375251
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Majdanpek
Majdanpek is a Serbian mining town known for its large copper deposits and surrounding mountainous, forested landscapes in eastern Serbia.
|
E1197102
|
NE FINISHED |
How this triple was built (4 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: Majdanpek | Statement: [Southern and Eastern Serbia region, containsCity, Majdanpek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majdanpek Context triple: [Southern and Eastern Serbia region, containsCity, Majdanpek]
-
A.
Zvornik
Zvornik is a historic town and municipality in northeastern Bosnia and Herzegovina, situated on the banks of the Drina River near the border with Serbia.
-
B.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
C.
Jasenica
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
-
D.
Jablanica
Jablanica is a town in Bosnia and Herzegovina known for its location in the Neretva River valley and its historical World War II railway bridge.
-
E.
Konjic
Konjic is a historic town in central Bosnia and Herzegovina known for its scenic setting on the Neretva River and its Ottoman-era stone bridge.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Majdanpek Triple: [Southern and Eastern Serbia region, containsCity, Majdanpek]
Generated description
Majdanpek is a Serbian mining town known for its large copper deposits and surrounding mountainous, forested landscapes in eastern Serbia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Majdanpek Target entity description: Majdanpek is a Serbian mining town known for its large copper deposits and surrounding mountainous, forested landscapes in eastern Serbia.
-
A.
Zvornik
Zvornik is a historic town and municipality in northeastern Bosnia and Herzegovina, situated on the banks of the Drina River near the border with Serbia.
-
B.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
-
C.
Jasenica
Jasenica is a river in central Serbia that flows through the Šumadija region before joining the Velika Morava.
-
D.
Jablanica
Jablanica is a town in Bosnia and Herzegovina known for its location in the Neretva River valley and its historical World War II railway bridge.
-
E.
Konjic
Konjic is a historic town in central Bosnia and Herzegovina known for its scenic setting on the Neretva River and its Ottoman-era stone bridge.
- F. None of above. chosen
Provenance (5 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_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79031f88190bf129582deeed3b9 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff83b56288190a139f6fbf7b4d1b3 |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff89eb66481909441b9bdfcada550 |
completed | May 10, 2026, 3:16 a.m. |
Created at: April 10, 2026, 4:13 a.m.