Triple
T20672971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian road network |
E508078
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
Novo Mesto
Novo Mesto is a historic city in southeastern Slovenia, known for its cultural heritage, industry, and location on the Krka River.
|
E1492236
|
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: Novo Mesto | Statement: [Slovenian road network, connectsCity, Novo Mesto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novo Mesto Context triple: [Slovenian road network, connectsCity, Novo Mesto]
-
A.
Ormož
Ormož is a small town in northeastern Slovenia known for its wine-growing tradition and location near the Croatian border.
-
B.
Kranj
Kranj is a historic industrial city in northwestern Slovenia, known as a regional economic center and gateway to the Slovenian Alps.
-
C.
Škofja Loka
Škofja Loka is a historic medieval town in northwestern Slovenia, known for its well-preserved old town, castle, and rich cultural heritage.
-
D.
Velenje
Velenje is a modern industrial town in northern Slovenia known for its coal mining heritage, large lakeside recreational area, and one of the largest Tito statues in the world.
-
E.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
- 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: Novo Mesto Triple: [Slovenian road network, connectsCity, Novo Mesto]
Generated description
Novo Mesto is a historic city in southeastern Slovenia, known for its cultural heritage, industry, and location on the Krka River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novo Mesto Target entity description: Novo Mesto is a historic city in southeastern Slovenia, known for its cultural heritage, industry, and location on the Krka River.
-
A.
Ormož
Ormož is a small town in northeastern Slovenia known for its wine-growing tradition and location near the Croatian border.
-
B.
Kranj
Kranj is a historic industrial city in northwestern Slovenia, known as a regional economic center and gateway to the Slovenian Alps.
-
C.
Škofja Loka
Škofja Loka is a historic medieval town in northwestern Slovenia, known for its well-preserved old town, castle, and rich cultural heritage.
-
D.
Velenje
Velenje is a modern industrial town in northern Slovenia known for its coal mining heritage, large lakeside recreational area, and one of the largest Tito statues in the world.
-
E.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cb1fc88190805f623e93a70368 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd1bb8c48190a2f9dff6a0c2eaeb |
completed | May 17, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a09fdf8a3f08190b3e1cf046920584d |
completed | May 17, 2026, 5:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fe7982748190ab3f61e7c2dc32ae |
completed | May 17, 2026, 5:44 p.m. |
Created at: April 16, 2026, 11:44 a.m.