Triple
T15753383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brda |
E381903
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Šmartno
Šmartno is a picturesque medieval village in the Brda wine-growing region of western Slovenia, known for its well-preserved stone architecture and scenic hillside setting.
|
E1185741
|
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: Šmartno | Statement: [Brda, hasSettlement, Šmartno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šmartno Context triple: [Brda, hasSettlement, Šmartno]
-
A.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
B.
Ajdovščina
Ajdovščina is a town in western Slovenia known for its location in the Vipava Valley, strong bora winds, and a mix of Roman heritage and modern industry.
-
C.
Kladno
Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
-
D.
Šentjur
Šentjur is a Slovenian basketball club competing in the country’s top professional league.
-
E.
Brežice
Brežice is a historic town in eastern Slovenia known for its medieval castle, wine-growing region, and location near the confluence of the Sava and Krka rivers.
- 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: Šmartno Triple: [Brda, hasSettlement, Šmartno]
Generated description
Šmartno is a picturesque medieval village in the Brda wine-growing region of western Slovenia, known for its well-preserved stone architecture and scenic hillside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Šmartno Target entity description: Šmartno is a picturesque medieval village in the Brda wine-growing region of western Slovenia, known for its well-preserved stone architecture and scenic hillside setting.
-
A.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
B.
Ajdovščina
Ajdovščina is a town in western Slovenia known for its location in the Vipava Valley, strong bora winds, and a mix of Roman heritage and modern industry.
-
C.
Kladno
Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
-
D.
Šentjur
Šentjur is a Slovenian basketball club competing in the country’s top professional league.
-
E.
Brežice
Brežice is a historic town in eastern Slovenia known for its medieval castle, wine-growing region, and location near the confluence of the Sava and Krka rivers.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe650c8481909d1c1661b20eac73 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:47 a.m.