Triple
T14951472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saša Dončić |
E372802
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object |
Slovan
Slovan is a Slovenian sports club best known for its basketball team, which has featured players such as Saša Dončić.
|
E1129122
|
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: Slovan | Statement: [Saša Dončić, memberOfSportsTeam, Slovan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slovan Context triple: [Saša Dončić, memberOfSportsTeam, Slovan]
-
A.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
B.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
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.
Dukla
Dukla is a Slovak professional ice hockey club based in Trenčín, known for competing in the country’s top league and developing numerous prominent players.
-
E.
Dukla
Dukla is a small historic town in southeastern Poland, near the Slovak border, known as a gateway through the Carpathian Mountains and for its role in regional trade and wartime history.
- 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: Slovan Triple: [Saša Dončić, memberOfSportsTeam, Slovan]
Generated description
Slovan is a Slovenian sports club best known for its basketball team, which has featured players such as Saša Dončić.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Slovan Target entity description: Slovan is a Slovenian sports club best known for its basketball team, which has featured players such as Saša Dončić.
-
A.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
B.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
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.
Dukla
Dukla is a Slovak professional ice hockey club based in Trenčín, known for competing in the country’s top league and developing numerous prominent players.
-
E.
Dukla
Dukla is a small historic town in southeastern Poland, near the Slovak border, known as a gateway through the Carpathian Mountains and for its role in regional trade and wartime history.
- 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_69fe7e9a6098819087b6e81bebcf6805 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe83fdef58819098cda8cca0d810dd |
completed | May 9, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8518121c8190b6ffcc14ec5ac8ea |
completed | May 9, 2026, 12:51 a.m. |
Created at: April 10, 2026, 2:39 a.m.