Triple
T2890715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Sports & Entertainment Law Journal |
E63814
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
VSELJ
VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
|
E308637
|
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: VSELJ | Statement: [Virginia Sports & Entertainment Law Journal, hasAbbreviation, VSELJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VSELJ Context triple: [Virginia Sports & Entertainment Law Journal, hasAbbreviation, VSELJ]
-
A.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
B.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
-
C.
VEKU
VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
-
D.
Vé
Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
-
E.
Vestli
Vestli is a residential neighborhood in the Stovner borough of Oslo, Norway, known for being served by the Oslo Metro.
- 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: VSELJ Triple: [Virginia Sports & Entertainment Law Journal, hasAbbreviation, VSELJ]
Generated description
VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VSELJ Target entity description: VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
-
A.
VLKSM
VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
-
B.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
-
C.
VEKU
VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
-
D.
Vé
Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
-
E.
Vestli
Vestli is a residential neighborhood in the Stovner borough of Oslo, Norway, known for being served by the Oslo Metro.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe05f98848190a33344fa780a3597 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03179d7448190bcdbea164856aaa2 |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b03f0c5bac81909aa21d5963a86c92 |
completed | March 10, 2026, 3:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b044c1ea3c8190a9ae7c1431d3a3f2 |
completed | March 10, 2026, 4:20 p.m. |
Created at: March 6, 2026, 10:07 p.m.