Triple
T4797640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Úhlava |
E106750
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
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.
|
E471492
|
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: Švihov | Statement: [Úhlava, flowsThrough, Švihov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Švihov Context triple: [Úhlava, flowsThrough, Švihov]
-
A.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
B.
Svatava
Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
-
C.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
-
D.
Šamorín
Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
-
E.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
- 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: Švihov Triple: [Úhlava, flowsThrough, Švihov]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Švihov Target entity description: 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.
-
A.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
B.
Svatava
Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
-
C.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
-
D.
Šamorín
Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
-
E.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d9a76c08190bd19fcef378cd640 |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4e764b60819097aace8e7321dc0c |
completed | March 21, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ef501e081908a75547e9bb52c0c |
completed | March 21, 2026, 7:55 a.m. |
Created at: March 20, 2026, 1:22 p.m.