Triple
T21844517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shumen Province |
E539340
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Novi Pazar
Novi Pazar is a small town in northeastern Bulgaria known for its historical churches, traditional architecture, and proximity to the regional center of Shumen.
|
E1513178
|
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: Novi Pazar | Statement: [Shumen Province, hasTown, Novi Pazar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novi Pazar Context triple: [Shumen Province, hasTown, Novi Pazar]
-
A.
Novi Pazar
Novi Pazar is a historic city in southwestern Serbia known for its Ottoman-era architecture, multicultural heritage, and proximity to important medieval Serbian monasteries.
-
B.
Zrenjanin
Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
-
C.
Bajina Bašta
Bajina Bašta is a small town in western Serbia known for its scenic location on the Drina River and proximity to the Tara National Park.
-
D.
Šabac
Šabac is a historic city in western Serbia on the Sava River, known as a regional cultural and educational center.
-
E.
Jagodina
Jagodina is a city in central Serbia known as a regional industrial and cultural center, featuring attractions such as a popular zoo, aqua park, and museums.
- 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: Novi Pazar Triple: [Shumen Province, hasTown, Novi Pazar]
Generated description
Novi Pazar is a small town in northeastern Bulgaria known for its historical churches, traditional architecture, and proximity to the regional center of Shumen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novi Pazar Target entity description: Novi Pazar is a small town in northeastern Bulgaria known for its historical churches, traditional architecture, and proximity to the regional center of Shumen.
-
A.
Novi Pazar
Novi Pazar is a historic city in southwestern Serbia known for its Ottoman-era architecture, multicultural heritage, and proximity to important medieval Serbian monasteries.
-
B.
Zrenjanin
Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
-
C.
Bajina Bašta
Bajina Bašta is a small town in western Serbia known for its scenic location on the Drina River and proximity to the Tara National Park.
-
D.
Šabac
Šabac is a historic city in western Serbia on the Sava River, known as a regional cultural and educational center.
-
E.
Jagodina
Jagodina is a city in central Serbia known as a regional industrial and cultural center, featuring attractions such as a popular zoo, aqua park, and museums.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd5248f08190ba208512eafbe7ad |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a735fd5b08190a25f2c4ec30033c9 |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74796d0c81908440995fa34a51c7 |
completed | May 18, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7539f3308190a1ff50ad7cf89545 |
completed | May 18, 2026, 2:11 a.m. |
Created at: April 16, 2026, 6:55 p.m.