Triple
T16206119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tábor District |
E393331
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Malšice
Malšice is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and proximity to the town of Tábor.
|
E1202199
|
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: Malšice | Statement: [Tábor District, contains, Malšice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malšice Context triple: [Tábor District, contains, Malšice]
-
A.
Maroško
Maroško is a literary work by Slovak writer Martin Rázus, known as a classic of early 20th-century Slovak literature.
-
B.
Grintovec
Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
-
C.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
D.
Malše
Malše is a river in South Bohemia, Czech Republic, that flows through towns including České Budějovice before joining the Vltava River.
-
E.
Dubočica
Dubočica was a medieval region in the central Balkans that formed part of the early Serbian state under the rule of Stefan Nemanja.
- 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: Malšice Triple: [Tábor District, contains, Malšice]
Generated description
Malšice is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and proximity to the town of Tábor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malšice Target entity description: Malšice is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and proximity to the town of Tábor.
-
A.
Maroško
Maroško is a literary work by Slovak writer Martin Rázus, known as a classic of early 20th-century Slovak literature.
-
B.
Grintovec
Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
-
C.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
D.
Malše
Malše is a river in South Bohemia, Czech Republic, that flows through towns including České Budějovice before joining the Vltava River.
-
E.
Dubočica
Dubočica was a medieval region in the central Balkans that formed part of the early Serbian state under the rule of Stefan Nemanja.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270f047c819084645da27759a3d2 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed13b40819096de333872225730 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00108fdda88190bf510d04f4cc73f1 |
completed | May 10, 2026, 4:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0011559b748190ad406263889514a4 |
completed | May 10, 2026, 5:02 a.m. |
Created at: April 10, 2026, 5:03 a.m.