Triple
T17242936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltic Basketball League |
E418546
|
entity |
| Predicate | notableParticipantClub |
P111529
|
FINISHED |
| Object |
VEF Rīga
VEF Rīga is a professional basketball club from Riga, Latvia, known as one of the country’s leading teams and a regular competitor in regional and European competitions.
|
E1258566
|
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: VEF Rīga | Statement: [Baltic Basketball League, notableParticipantClub, VEF Rīga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEF Rīga Context triple: [Baltic Basketball League, notableParticipantClub, VEF Rīga]
-
A.
Riga FC
Riga FC is a professional football club based in Riga, Latvia, competing in the Latvian Higher League.
-
B.
TTT Riga
TTT Riga is a historically dominant Latvian women’s basketball club renowned for its success in European competitions.
-
C.
FK Liepāja
FK Liepāja is a professional football club from the Latvian city of Liepāja that competes in the country’s top-tier league.
-
D.
Dinamo Riga
Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
-
E.
Pierikos F.C.
Pierikos F.C. is a Greek professional football club based in the city of Katerini, competing in the national league system.
- 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: VEF Rīga Triple: [Baltic Basketball League, notableParticipantClub, VEF Rīga]
Generated description
VEF Rīga is a professional basketball club from Riga, Latvia, known as one of the country’s leading teams and a regular competitor in regional and European competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEF Rīga Target entity description: VEF Rīga is a professional basketball club from Riga, Latvia, known as one of the country’s leading teams and a regular competitor in regional and European competitions.
-
A.
Riga FC
Riga FC is a professional football club based in Riga, Latvia, competing in the Latvian Higher League.
-
B.
TTT Riga
TTT Riga is a historically dominant Latvian women’s basketball club renowned for its success in European competitions.
-
C.
FK Liepāja
FK Liepāja is a professional football club from the Latvian city of Liepāja that competes in the country’s top-tier league.
-
D.
Dinamo Riga
Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
-
E.
Pierikos F.C.
Pierikos F.C. is a Greek professional football club based in the city of Katerini, competing in the national league system.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e21003c81908c884a3c8712676a |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f388608190b709b1c228a7ba29 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a01718311a48190890c770f571852c8 |
completed | May 11, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01721f5b9081909a8bc817ba0a5986 |
completed | May 11, 2026, 6:07 a.m. |
Created at: April 10, 2026, 5:39 a.m.