Triple
T5096523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bratislava Region |
E114877
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Modra
Modra is a historic Slovak town in the foothills of the Little Carpathians, renowned for its wine production and traditional ceramics.
|
E494992
|
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: Modra | Statement: [Bratislava Region, hasTown, Modra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modra Context triple: [Bratislava Region, hasTown, Modra]
-
A.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
-
B.
Bijela
Bijela is a coastal town in Montenegro situated along the Bay of Kotor, known for its maritime heritage and scenic Adriatic shoreline.
-
C.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
D.
Izola
Izola is a coastal town and popular tourist destination on the Adriatic Sea in southwestern Slovenia, known for its fishing heritage and picturesque old town.
-
E.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
- 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: Modra Triple: [Bratislava Region, hasTown, Modra]
Generated description
Modra is a historic Slovak town in the foothills of the Little Carpathians, renowned for its wine production and traditional ceramics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Modra Target entity description: Modra is a historic Slovak town in the foothills of the Little Carpathians, renowned for its wine production and traditional ceramics.
-
A.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
-
B.
Bijela
Bijela is a coastal town in Montenegro situated along the Bay of Kotor, known for its maritime heritage and scenic Adriatic shoreline.
-
C.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
D.
Izola
Izola is a coastal town and popular tourist destination on the Adriatic Sea in southwestern Slovenia, known for its fishing heritage and picturesque old town.
-
E.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75652a8081908386718f1fdb1de3 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba80aee081908498cbe9d4f2eaa7 |
completed | March 21, 2026, 3:34 p.m. |
| NEDg | Description generation | batch_69bebce93dc48190a43fca47cb5c0bcb |
completed | March 21, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebe0086bc81908aa38f32952b8902 |
completed | March 21, 2026, 3:49 p.m. |
Created at: March 20, 2026, 1:40 p.m.