Triple
T7833442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vysočina Region |
E181629
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Pacov
Pacov is a small historic town in the Czech Republic, located in the Vysočina Region on the Bohemian-Moravian Highlands.
|
E695951
|
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: Pacov | Statement: [Vysočina Region, containsSettlement, Pacov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pacov Context triple: [Vysočina Region, containsSettlement, Pacov]
-
A.
Dobřany
Dobřany is a small historic town in the Plzeň Region of the Czech Republic, known for its location on the Radbuza River and its well-preserved architecture.
-
B.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
C.
Louny
Louny is a historic town in the Ústí nad Labem Region of the Czech Republic known for its medieval architecture and location in the fertile Ohře River valley.
-
D.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
E.
Tuchkovo
Tuchkovo is an urban-type settlement in Moscow Oblast, Russia, located west of Moscow and known for its proximity to the Ruza Reservoir and regional transport links.
- 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: Pacov Triple: [Vysočina Region, containsSettlement, Pacov]
Generated description
Pacov is a small historic town in the Czech Republic, located in the Vysočina Region on the Bohemian-Moravian Highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pacov Target entity description: Pacov is a small historic town in the Czech Republic, located in the Vysočina Region on the Bohemian-Moravian Highlands.
-
A.
Dobřany
Dobřany is a small historic town in the Plzeň Region of the Czech Republic, known for its location on the Radbuza River and its well-preserved architecture.
-
B.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
C.
Louny
Louny is a historic town in the Ústí nad Labem Region of the Czech Republic known for its medieval architecture and location in the fertile Ohře River valley.
-
D.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
E.
Tuchkovo
Tuchkovo is an urban-type settlement in Moscow Oblast, Russia, located west of Moscow and known for its proximity to the Ruza Reservoir and regional transport links.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a9b7bb081909d6aa066ee064093 |
completed | March 31, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69cb5ded0284819086c40a379b52a5bd |
completed | March 31, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb765db28881909ac34071ec6889b3 |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:45 p.m.