Triple
T4297073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brno region |
E99740
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Rousínov
Rousínov is a small town in the South Moravian Region of the Czech Republic, known for its traditional furniture-making industry and proximity to the city of Brno.
|
E433624
|
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: Rousínov | Statement: [Brno region, containsTown, Rousínov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rousínov Context triple: [Brno region, containsTown, Rousínov]
-
A.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
B.
Ruzyně
Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
-
C.
Sokolov
Sokolov is a town in the Karlovy Vary Region of the Czech Republic, known for its historical center and location in the Ohře River valley.
-
D.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
E.
Nymburk
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe 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: Rousínov Triple: [Brno region, containsTown, Rousínov]
Generated description
Rousínov is a small town in the South Moravian Region of the Czech Republic, known for its traditional furniture-making industry and proximity to the city of Brno.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rousínov Target entity description: Rousínov is a small town in the South Moravian Region of the Czech Republic, known for its traditional furniture-making industry and proximity to the city of Brno.
-
A.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
B.
Ruzyně
Ruzyně is a district in the western part of Prague, Czech Republic, best known as the location of the city’s main international airport.
-
C.
Sokolov
Sokolov is a town in the Karlovy Vary Region of the Czech Republic, known for its historical center and location in the Ohře River valley.
-
D.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
E.
Nymburk
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509aebd48190af38f2e37f07869a |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db8a3a0481909d24f214f56bd21e |
completed | March 14, 2026, 10:04 p.m. |
| NEDg | Description generation | batch_69b5df52a494819086c89a1818fabe5b |
completed | March 14, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dfb71ba48190b412016d11a9efa5 |
completed | March 14, 2026, 10:22 p.m. |
Created at: March 12, 2026, 11:08 p.m.