Triple
T16223158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Bled |
E393780
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Ribno
Ribno is a small village in northwestern Slovenia, situated near the resort town of Bled and known for its scenic Alpine surroundings.
|
E1200505
|
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: Ribno | Statement: [Municipality of Bled, containsAdministrativeTerritorialEntity, Ribno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ribno Context triple: [Municipality of Bled, containsAdministrativeTerritorialEntity, Ribno]
-
A.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
B.
Rybansk
Rybansk is a former historical name of the Russian city now known as Rybinsk, located on the Volga River.
-
C.
Riabni
Riabni is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
-
D.
Livoberezhna
Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
-
E.
Rybno
Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
- 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: Ribno Triple: [Municipality of Bled, containsAdministrativeTerritorialEntity, Ribno]
Generated description
Ribno is a small village in northwestern Slovenia, situated near the resort town of Bled and known for its scenic Alpine surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ribno Target entity description: Ribno is a small village in northwestern Slovenia, situated near the resort town of Bled and known for its scenic Alpine surroundings.
-
A.
Loznitsa
Loznitsa is a small town and municipal center in northeastern Bulgaria known for its agricultural surroundings and local rural character.
-
B.
Rybansk
Rybansk is a former historical name of the Russian city now known as Rybinsk, located on the Volga River.
-
C.
Riabni
Riabni is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
-
D.
Livoberezhna
Livoberezhna is a metro station on the Kyiv Metro system, serving the left-bank area of Ukraine’s capital city.
-
E.
Rybno
Rybno is a town in northern Poland located in the Warmian-Masurian Voivodeship, known for its lakes and natural surroundings.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d23e63881908806920d878f2adb |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079a5c1481909485e1b4a41f5d2c |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0008d53b6081908d66b2c09e8b2565 |
completed | May 10, 2026, 4:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00096cabec81908fec25052e9cf4f8 |
completed | May 10, 2026, 4:28 a.m. |
Created at: April 10, 2026, 5:03 a.m.