Triple
T5519354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cetinje |
E144765
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Vršac
Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
|
E538720
|
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: Vršac | Statement: [Cetinje, twinTown, Vršac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vršac Context triple: [Cetinje, twinTown, Vršac]
-
A.
Trebević
Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
-
B.
Obrenovac
Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
-
C.
Bunjevac
Bunjevac is a South Slavic ethnic group whose distinctive dialect and cultural traditions are recognized as a minority language in parts of Serbia and neighboring regions.
-
D.
Gračanica
Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
-
E.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
- 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: Vršac Triple: [Cetinje, twinTown, Vršac]
Generated description
Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vršac Target entity description: Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
-
A.
Trebević
Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
-
B.
Obrenovac
Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
-
C.
Bunjevac
Bunjevac is a South Slavic ethnic group whose distinctive dialect and cultural traditions are recognized as a minority language in parts of Serbia and neighboring regions.
-
D.
Gračanica
Gračanica is a town in central Kosovo known for its significant Serbian cultural and religious heritage, including the medieval Gračanica Monastery.
-
E.
Mladenovac
Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f6eb604819092e9b2207dc741a9 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04ccba3f08190beae13063bbc4484 |
completed | March 22, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c056a981f881908663c315fe2db829 |
completed | March 22, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0573ca734819098de3376ff93c309 |
completed | March 22, 2026, 8:55 p.m. |
Created at: March 22, 2026, 3:33 p.m.