Triple
T14951478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saša Dončić |
E372802
|
entity |
| Predicate | coachedTeam |
P2169
|
FINISHED |
| Object |
Šentjur
Šentjur is a Slovenian basketball club competing in the country’s top professional league.
|
E1130312
|
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: Šentjur | Statement: [Saša Dončić, coachedTeam, Šentjur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šentjur Context triple: [Saša Dončić, coachedTeam, Šentjur]
-
A.
Radovljica
Radovljica is a historic town in northwestern Slovenia known for its well-preserved medieval old town and cultural heritage.
-
B.
Grožnjan
Grožnjan is a small medieval hilltop town in Istria, Croatia, renowned as an artists’ colony and cultural center.
-
C.
Vodnjan
Vodnjan is a historic town in southwestern Croatia’s Istria region, known for its multicultural heritage, medieval architecture, and preservation of local Romance dialects.
-
D.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
E.
Klanjec
Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
- 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: Šentjur Triple: [Saša Dončić, coachedTeam, Šentjur]
Generated description
Šentjur is a Slovenian basketball club competing in the country’s top professional league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Šentjur Target entity description: Šentjur is a Slovenian basketball club competing in the country’s top professional league.
-
A.
Radovljica
Radovljica is a historic town in northwestern Slovenia known for its well-preserved medieval old town and cultural heritage.
-
B.
Grožnjan
Grožnjan is a small medieval hilltop town in Istria, Croatia, renowned as an artists’ colony and cultural center.
-
C.
Vodnjan
Vodnjan is a historic town in southwestern Croatia’s Istria region, known for its multicultural heritage, medieval architecture, and preservation of local Romance dialects.
-
D.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
E.
Klanjec
Klanjec is a small town in northern Croatia’s Zagorje region, known for its historic architecture and picturesque rural surroundings.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bda691481909c2d89a362782ed8 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8fcc19e08190a0d11c8310b8625f |
completed | May 9, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe91a86ae881908b492a4f255866b9 |
completed | May 9, 2026, 1:45 a.m. |
Created at: April 10, 2026, 2:39 a.m.