Triple
T8795780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arena das Dunas |
E209284
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object |
OAS Arenas
OAS Arenas is a Brazilian company that manages and operates sports and multi-purpose stadiums and arenas.
|
E759550
|
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: OAS Arenas | Statement: [Arena das Dunas, operator, OAS Arenas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OAS Arenas Context triple: [Arena das Dunas, operator, OAS Arenas]
-
A.
Vida Arena
Vida Arena is a modern indoor ice hockey and events arena located in Växjö, Sweden, primarily serving as the home venue for the Växjö Lakers.
-
B.
Megasport Arena
Megasport Arena is a large multi-purpose indoor sports and entertainment venue in Moscow, Russia, known for hosting ice hockey, basketball, and major concerts.
-
C.
Artland Arena
Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
-
D.
Globe Arena
Globe Arena is a football stadium in Morecambe, England, best known as the modern home venue of Morecambe F.C.
-
E.
Agganis Arena
Agganis Arena is a multi-purpose sports and entertainment venue in Boston, Massachusetts, best known as the home rink of Boston University’s hockey programs.
- 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: OAS Arenas Triple: [Arena das Dunas, operator, OAS Arenas]
Generated description
OAS Arenas is a Brazilian company that manages and operates sports and multi-purpose stadiums and arenas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OAS Arenas Target entity description: OAS Arenas is a Brazilian company that manages and operates sports and multi-purpose stadiums and arenas.
-
A.
Vida Arena
Vida Arena is a modern indoor ice hockey and events arena located in Växjö, Sweden, primarily serving as the home venue for the Växjö Lakers.
-
B.
Megasport Arena
Megasport Arena is a large multi-purpose indoor sports and entertainment venue in Moscow, Russia, known for hosting ice hockey, basketball, and major concerts.
-
C.
Artland Arena
Artland Arena is a multi-purpose indoor sports and events venue located in Quakenbrück, Germany.
-
D.
Globe Arena
Globe Arena is a football stadium in Morecambe, England, best known as the modern home venue of Morecambe F.C.
-
E.
Agganis Arena
Agganis Arena is a multi-purpose sports and entertainment venue in Boston, Massachusetts, best known as the home rink of Boston University’s hockey programs.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa24ca08190a7738a7f1c446456 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f5d655881909013ac3e2ac0cebb |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf71c118848190a937ecf714556ef3 |
completed | April 3, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf744b17e88190b14607e6dff823a3 |
completed | April 3, 2026, 8:03 a.m. |
Created at: March 30, 2026, 6:44 p.m.