Triple
T12527134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xaero |
E299468
|
entity |
| Predicate | controls |
P760
|
FINISHED |
| Object |
Vadrigar Arena
Vadrigar Arena is a combat battleground in the Quake series, known as the domain overseen by the powerful character Xaero.
|
E988286
|
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: Vadrigar Arena | Statement: [Xaero, controls, Vadrigar Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vadrigar Arena Context triple: [Xaero, controls, Vadrigar Arena]
-
A.
Romssa Arena
Romssa Arena is a football stadium in Tromsø, Norway, known for hosting the home matches of Tromsø IL in the country’s top leagues.
-
B.
Reale Arena
Reale Arena is a football stadium in Donostia-San Sebastián, Spain, best known as the home ground of La Liga club Real Sociedad.
-
C.
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.
-
D.
Ghelamco Arena
Ghelamco Arena is a modern football stadium in Ghent, Belgium, primarily known as the home ground of Belgian club KAA Gent.
-
E.
Imtech Arena
Imtech Arena is a football stadium in Hamburg, Germany, best known as the longtime home ground of Hamburger SV and for hosting major Bundesliga and international matches.
- 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: Vadrigar Arena Triple: [Xaero, controls, Vadrigar Arena]
Generated description
Vadrigar Arena is a combat battleground in the Quake series, known as the domain overseen by the powerful character Xaero.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vadrigar Arena Target entity description: Vadrigar Arena is a combat battleground in the Quake series, known as the domain overseen by the powerful character Xaero.
-
A.
Romssa Arena
Romssa Arena is a football stadium in Tromsø, Norway, known for hosting the home matches of Tromsø IL in the country’s top leagues.
-
B.
Reale Arena
Reale Arena is a football stadium in Donostia-San Sebastián, Spain, best known as the home ground of La Liga club Real Sociedad.
-
C.
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.
-
D.
Ghelamco Arena
Ghelamco Arena is a modern football stadium in Ghent, Belgium, primarily known as the home ground of Belgian club KAA Gent.
-
E.
Imtech Arena
Imtech Arena is a football stadium in Hamburg, Germany, best known as the longtime home ground of Hamburger SV and for hosting major Bundesliga and international matches.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545e90948190980bd4d64964a0f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc393808190add527030a928517 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:57 p.m.