Triple
T18854453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Volvi |
E461134
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Vrasna
Vrasna is a coastal village in northern Greece known for its beaches and tourism, located within the regional unit of Thessaloniki.
|
E1347120
|
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: Vrasna | Statement: [Municipality of Volvi, hasSettlement, Vrasna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vrasna Context triple: [Municipality of Volvi, hasSettlement, Vrasna]
-
A.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
B.
Vranje
Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
-
C.
Yenidje Vardarska
Yenidje Vardarska is a historical town in the region of Macedonia, known today as Giannitsa in northern Greece.
-
D.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
E.
Crvenka
Crvenka is a small town in the Vojvodina region of northern Serbia, known historically for its food industry and sugar refinery.
- 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: Vrasna Triple: [Municipality of Volvi, hasSettlement, Vrasna]
Generated description
Vrasna is a coastal village in northern Greece known for its beaches and tourism, located within the regional unit of Thessaloniki.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vrasna Target entity description: Vrasna is a coastal village in northern Greece known for its beaches and tourism, located within the regional unit of Thessaloniki.
-
A.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
B.
Vranje
Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
-
C.
Yenidje Vardarska
Yenidje Vardarska is a historical town in the region of Macedonia, known today as Giannitsa in northern Greece.
-
D.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
E.
Crvenka
Crvenka is a small town in the Vojvodina region of northern Serbia, known historically for its food industry and sugar refinery.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05b4d8881909af0238f451b0e31 |
completed | April 20, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575b1b26c8190ac2fbf2615f7f0e0 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05779c180c8190a682ffba162df80d |
completed | May 14, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a057813dd3481909f79b2a78bdec055 |
completed | May 14, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:56 a.m.