Triple
T5024872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alva |
E112949
|
entity |
| Predicate | hasAnnualEvent |
P3113
|
FINISHED |
| Object |
Alva Games
Alva Games is an annual gaming event held in Alva that features video game competitions, community activities, and entertainment for gaming enthusiasts.
|
E486173
|
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: Alva Games | Statement: [Alva, hasAnnualEvent, Alva Games]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alva Games Context triple: [Alva, hasAnnualEvent, Alva Games]
-
A.
Actian Games
Actian Games were athletic competitions held in ancient Rome to commemorate the naval victory at the Battle of Actium.
-
B.
Dream Game Studios
Dream Game Studios is a gaming-focused division of Dream Sports that develops and publishes interactive sports and fantasy gaming experiences.
-
C.
Applebox Entertainment
Applebox Entertainment is a television and film production company known for its involvement in high-profile series such as the 2018 reboot of "Lost in Space."
-
D.
Ludian
Ludian is a Finnic language spoken by the Ludic people in northwestern Russia, considered a transitional variety between Karelian and Veps.
-
E.
Playground Games
Playground Games is a British video game developer best known for creating the Forza Horizon open-world racing series.
- 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: Alva Games Triple: [Alva, hasAnnualEvent, Alva Games]
Generated description
Alva Games is an annual gaming event held in Alva that features video game competitions, community activities, and entertainment for gaming enthusiasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alva Games Target entity description: Alva Games is an annual gaming event held in Alva that features video game competitions, community activities, and entertainment for gaming enthusiasts.
-
A.
Actian Games
Actian Games were athletic competitions held in ancient Rome to commemorate the naval victory at the Battle of Actium.
-
B.
Dream Game Studios
Dream Game Studios is a gaming-focused division of Dream Sports that develops and publishes interactive sports and fantasy gaming experiences.
-
C.
Applebox Entertainment
Applebox Entertainment is a television and film production company known for its involvement in high-profile series such as the 2018 reboot of "Lost in Space."
-
D.
Ludian
Ludian is a Finnic language spoken by the Ludic people in northwestern Russia, considered a transitional variety between Karelian and Veps.
-
E.
Playground Games
Playground Games is a British video game developer best known for creating the Forza Horizon open-world racing series.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736a0f8c819091d06275954329e9 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9286bb28819095ca0ec858061419 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be933f3ed08190a128c1b3c9b3b1c3 |
completed | March 21, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be940b2eac819099001d403501afac |
completed | March 21, 2026, 12:50 p.m. |
Created at: March 20, 2026, 1:36 p.m.