Triple
T9206339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Příbram |
E220989
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Svatá Hora
Svatá Hora is a famous Baroque pilgrimage complex and Marian shrine in the Czech Republic, renowned for its ornate architecture and religious significance.
|
E788539
|
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: Svatá Hora | Statement: [Příbram, hasLandmark, Svatá Hora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svatá Hora Context triple: [Příbram, hasLandmark, Svatá Hora]
-
A.
Vysoké Skalky
Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
-
B.
Vidova Gora
Vidova Gora is a prominent mountain peak on the Croatian island of Brač, known for its sweeping views over the Adriatic Sea and nearby islands.
-
C.
Pohořelice
Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
-
D.
Turzovská vrchovina
Turzovská vrchovina is a hilly mountain range in northern Slovakia that forms part of the Outer Western Carpathians.
-
E.
Svatava
Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
- 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: Svatá Hora Triple: [Příbram, hasLandmark, Svatá Hora]
Generated description
Svatá Hora is a famous Baroque pilgrimage complex and Marian shrine in the Czech Republic, renowned for its ornate architecture and religious significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Svatá Hora Target entity description: Svatá Hora is a famous Baroque pilgrimage complex and Marian shrine in the Czech Republic, renowned for its ornate architecture and religious significance.
-
A.
Vysoké Skalky
Vysoké Skalky is the highest peak of the Pieniny mountain range, located on the Slovak-Polish border in Central Europe.
-
B.
Vidova Gora
Vidova Gora is a prominent mountain peak on the Croatian island of Brač, known for its sweeping views over the Adriatic Sea and nearby islands.
-
C.
Pohořelice
Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
-
D.
Turzovská vrchovina
Turzovská vrchovina is a hilly mountain range in northern Slovakia that forms part of the Outer Western Carpathians.
-
E.
Svatava
Svatava is a river in Central Europe that flows through parts of Germany and the Czech Republic before joining the Ohře River.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd947a0a08190966f22a6207c9120 |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b96f0e88190bd80594fe3f769b8 |
completed | April 4, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69d09ca202f88190b21b89e61b1596ff |
completed | April 4, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09d914d688190af609c4485c746cc |
completed | April 4, 2026, 5:11 a.m. |
Created at: March 30, 2026, 7:26 p.m.