Triple
T14951477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saša Dončić |
E372802
|
entity |
| Predicate | coachedTeam |
P2169
|
FINISHED |
| Object |
Ilirija
Ilirija is a Slovenian basketball club known for competing in the country's national leagues and developing local talent.
|
E1129125
|
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: Ilirija | Statement: [Saša Dončić, coachedTeam, Ilirija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilirija Context triple: [Saša Dončić, coachedTeam, Ilirija]
-
A.
Syrmia
Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
-
B.
Dalmatia
Dalmatia is a historical coastal region along the eastern Adriatic Sea, largely in modern-day Croatia, known for its Mediterranean landscapes, ancient cities, and strategic maritime importance.
-
C.
Rumen
Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
-
D.
Czarna Górna
Czarna Górna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
-
E.
Styria
Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
- 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: Ilirija Triple: [Saša Dončić, coachedTeam, Ilirija]
Generated description
Ilirija is a Slovenian basketball club known for competing in the country's national leagues and developing local talent.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilirija Target entity description: Ilirija is a Slovenian basketball club known for competing in the country's national leagues and developing local talent.
-
A.
Syrmia
Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
-
B.
Dalmatia
Dalmatia is a historical coastal region along the eastern Adriatic Sea, largely in modern-day Croatia, known for its Mediterranean landscapes, ancient cities, and strategic maritime importance.
-
C.
Rumen
Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
-
D.
Czarna Górna
Czarna Górna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
-
E.
Styria
Styria is a federal state in southeastern Austria known for its capital Graz, diverse landscapes, and strong industrial and educational sectors.
- 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.