Triple
T13710351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malyovitsa |
E328753
|
entity |
| Predicate | nameWrittenIn |
P77948
|
FINISHED |
| Object |
Мальовица
Мальовица is a prominent peak and alpine skiing area in Bulgaria’s Rila Mountains, popular for mountaineering, hiking, and winter sports.
|
E1056471
|
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: Мальовица | Statement: [Malyovitsa, nameWrittenIn, Мальовица]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Мальовица Context triple: [Malyovitsa, nameWrittenIn, Мальовица]
-
A.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
B.
Milevsko
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
-
C.
Hvozdnica
Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina Region.
-
D.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
-
E.
České Velenice
České Velenice is a town in the South Bohemian Region of the Czech Republic known for its strategic railway junction and position directly opposite the Austrian town of Gmünd on the Czech–Austrian border.
- 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: Мальовица Triple: [Malyovitsa, nameWrittenIn, Мальовица]
Generated description
Мальовица is a prominent peak and alpine skiing area in Bulgaria’s Rila Mountains, popular for mountaineering, hiking, and winter sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Мальовица Target entity description: Мальовица is a prominent peak and alpine skiing area in Bulgaria’s Rila Mountains, popular for mountaineering, hiking, and winter sports.
-
A.
Moravice
Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
-
B.
Milevsko
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
-
C.
Hvozdnica
Hvozdnica is a small village and municipality in northern Slovakia known for its rural character and location within the Žilina Region.
-
D.
Kraslava
Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
-
E.
České Velenice
České Velenice is a town in the South Bohemian Region of the Czech Republic known for its strategic railway junction and position directly opposite the Austrian town of Gmünd on the Czech–Austrian border.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d52b3708190ae0945e65b271556 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79df2984c8190bed380102ade0725 |
completed | May 3, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79e7d50a88190b2a90094dd6d48ad |
completed | May 3, 2026, 7:14 p.m. |
Created at: April 9, 2026, 9:54 p.m.