Triple
T8474071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrmia |
E200346
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Nova Pazova
Nova Pazova is a town in northern Serbia known as a suburban and industrial settlement within the municipality of Stara Pazova in the Vojvodina region.
|
E737860
|
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: Nova Pazova | Statement: [Syrmia, containsCity, Nova Pazova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova Pazova Context triple: [Syrmia, containsCity, Nova Pazova]
-
A.
Stara Pazova
Stara Pazova is a town and municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia.
-
B.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
C.
Lučenec
Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
-
D.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
-
E.
Lozova
Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
- 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: Nova Pazova Triple: [Syrmia, containsCity, Nova Pazova]
Generated description
Nova Pazova is a town in northern Serbia known as a suburban and industrial settlement within the municipality of Stara Pazova in the Vojvodina region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nova Pazova Target entity description: Nova Pazova is a town in northern Serbia known as a suburban and industrial settlement within the municipality of Stara Pazova in the Vojvodina region.
-
A.
Stara Pazova
Stara Pazova is a town and municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia.
-
B.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
-
C.
Lučenec
Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
-
D.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
-
E.
Lozova
Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f7328481909ad19bcf8d182022 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4de1fae48190a1149f639faca147 |
completed | April 2, 2026, 11:07 a.m. |
| NEDg | Description generation | batch_69ce4f587a7081908c357f82bc28a1aa |
completed | April 2, 2026, 11:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce5059e0f48190b8ff08253337f430 |
completed | April 2, 2026, 11:17 a.m. |
Created at: March 30, 2026, 6:11 p.m.