Triple
T3623323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velika Morava |
E76777
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object |
Paraćin
Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
|
E373768
|
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: Paraćin | Statement: [Velika Morava, majorCityOnRiver, Paraćin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paraćin Context triple: [Velika Morava, majorCityOnRiver, Paraćin]
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Rakovica
Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
-
C.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
D.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
-
E.
Cocijo
Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
- 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: Paraćin Triple: [Velika Morava, majorCityOnRiver, Paraćin]
Generated description
Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paraćin Target entity description: Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Rakovica
Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
-
C.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
D.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
-
E.
Cocijo
Cocijo is the Zapotec rain and storm deity, associated with fertility, lightning, and agricultural abundance in Mesoamerican religion.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bc79008190abe6900adcbda8de |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43320955c8190910c0f15c80f41f4 |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b43705642881909c62b7363a4f3a12 |
completed | March 13, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4379cd04c81909246747bcc357261 |
completed | March 13, 2026, 4:13 p.m. |
Created at: March 8, 2026, 3:23 p.m.