Triple
T21856568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matjaž Kopitar |
E539642
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object |
VSV EC
VSV EC is a professional ice hockey club based in Villach, Austria, competing in the country’s top-tier league.
|
E1505741
|
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: VSV EC | Statement: [Matjaž Kopitar, memberOfSportsTeam, VSV EC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VSV EC Context triple: [Matjaž Kopitar, memberOfSportsTeam, VSV EC]
-
A.
PSV
PSV is a major Dutch football club from Eindhoven, widely known as one of the country's "big three" teams.
-
B.
MSV
MSV is a regional museum and cultural complex in Winchester, Virginia, showcasing the art, history, and landscape of the Shenandoah Valley.
-
C.
SC Rasta Vechta
SC Rasta Vechta is a professional basketball club from Vechta, Germany, known for competing in the country’s top leagues and for its passionate local fan base.
-
D.
SBV Vitesse
SBV Vitesse is a professional Dutch football club that competes in the Eredivisie, the top tier of football in the Netherlands.
-
E.
MVV
MVV is the Munich Transport and Tariff Association, the public transit network and fare system serving Munich and its surrounding region in Germany.
- 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: VSV EC Triple: [Matjaž Kopitar, memberOfSportsTeam, VSV EC]
Generated description
VSV EC is a professional ice hockey club based in Villach, Austria, competing in the country’s top-tier league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VSV EC Target entity description: VSV EC is a professional ice hockey club based in Villach, Austria, competing in the country’s top-tier league.
-
A.
PSV
PSV is a major Dutch football club from Eindhoven, widely known as one of the country's "big three" teams.
-
B.
MSV
MSV is a regional museum and cultural complex in Winchester, Virginia, showcasing the art, history, and landscape of the Shenandoah Valley.
-
C.
SC Rasta Vechta
SC Rasta Vechta is a professional basketball club from Vechta, Germany, known for competing in the country’s top leagues and for its passionate local fan base.
-
D.
SBV Vitesse
SBV Vitesse is a professional Dutch football club that competes in the Eredivisie, the top tier of football in the Netherlands.
-
E.
MVV
MVV is the Munich Transport and Tariff Association, the public transit network and fare system serving Munich and its surrounding region in Germany.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d636dc708190be34bb7ea526cfac |
completed | April 28, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a4bd70bd0819084e4bb4af845484b |
completed | May 17, 2026, 11:14 p.m. |
| NEDg | Description generation | batch_6a0a4fa22dd481909a01616d8c99d044 |
completed | May 17, 2026, 11:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5059be1881908ee2823b0c990448 |
completed | May 17, 2026, 11:33 p.m. |
Created at: April 16, 2026, 6:56 p.m.