Triple
T8186008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Bohemian Region |
E191184
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Milevsko
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
|
E716883
|
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: Milevsko | Statement: [South Bohemian Region, containsTown, Milevsko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milevsko Context triple: [South Bohemian Region, containsTown, Milevsko]
-
A.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
B.
Lechovo
Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
-
C.
Tisovec
Tisovec is a small Slovak town known for its historical architecture and scenic location in the Rimavská Sobota District of the Banská Bystrica Region.
-
D.
Мачва
Мачва is a historical and geographical region in northwestern Serbia, situated between the Sava and Drina rivers and known for its fertile plains and agricultural significance.
-
E.
Titov Vrv
Titov Vrv is a prominent mountain peak in the Balkans located on the Šar Mountains range in North Macedonia.
- 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: Milevsko Triple: [South Bohemian Region, containsTown, Milevsko]
Generated description
Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milevsko Target entity description: Milevsko is a small historic town in the Czech Republic known for its medieval monastery and location in the South Bohemian Region.
-
A.
Kremenica
Kremenica is a village-level settlement located within the municipality of Barajevo in Serbia.
-
B.
Lechovo
Lechovo is a village in northern Greece located within the Florina regional unit, known for its traditional Macedonian architecture and mountainous surroundings.
-
C.
Tisovec
Tisovec is a small Slovak town known for its historical architecture and scenic location in the Rimavská Sobota District of the Banská Bystrica Region.
-
D.
Мачва
Мачва is a historical and geographical region in northwestern Serbia, situated between the Sava and Drina rivers and known for its fertile plains and agricultural significance.
-
E.
Titov Vrv
Titov Vrv is a prominent mountain peak in the Balkans located on the Šar Mountains range in North Macedonia.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c52407c8190bd366fce6d4e02cd |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf9a0e24819098f1693e78dc7445 |
completed | April 1, 2026, 6:47 a.m. |
| NEDg | Description generation | batch_69ccc315c73c81908ba65073c5eab6e1 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd878b97c8190aa20cadb052b34d3 |
completed | April 1, 2026, 8:34 a.m. |
Created at: March 30, 2026, 5:41 p.m.