Triple
T7908840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beskids |
E183645
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Čergov
Čergov is a mountain range in northeastern Slovakia, known for its forested ridges and scenic hiking trails within the broader Carpathian mountain system.
|
E700703
|
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: Čergov | Statement: [Beskids, hasPart, Čergov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čergov Context triple: [Beskids, hasPart, Čergov]
-
A.
Švihov
Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
-
B.
Čáslav
Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
-
C.
Chudovo
Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
-
D.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
E.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
- 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: Čergov Triple: [Beskids, hasPart, Čergov]
Generated description
Čergov is a mountain range in northeastern Slovakia, known for its forested ridges and scenic hiking trails within the broader Carpathian mountain system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Čergov Target entity description: Čergov is a mountain range in northeastern Slovakia, known for its forested ridges and scenic hiking trails within the broader Carpathian mountain system.
-
A.
Švihov
Švihov is a small town in the Plzeň Region of the Czech Republic, known for its well-preserved water castle and its location on the Úhlava River.
-
B.
Čáslav
Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
-
C.
Chudovo
Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
-
D.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
E.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5c85ac81908de2ca387826ea2f |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd54f548190916bf00852f37224 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb78f72878819086092c9fe267e37f |
completed | March 31, 2026, 7:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf2a357081908ac2230f0dfd9cdc |
completed | March 31, 2026, 12:33 p.m. |
Created at: March 30, 2026, 5:03 p.m.