Triple
T20983190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starbreeze Studios |
E516818
|
entity |
| Predicate | gameTypeFocus |
P83654
|
FINISHED |
| Object | multiplayer games |
—
|
LITERAL FINISHED |
How this triple was built (2 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: multiplayer games | Statement: [Starbreeze Studios, gameTypeFocus, multiplayer games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameTypeFocus Context triple: [Starbreeze Studios, gameTypeFocus, multiplayer games]
-
A.
homeGamesFocus
Indicates a focus or emphasis on games played at a team's home venue rather than away or neutral-site games.
-
B.
ballGameType
Indicates the specific kind or category of ball game associated with an event or activity.
-
C.
primaryGameType
chosen
Indicates the main category or type of game with which an entity is primarily associated.
-
D.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
-
E.
typicalGame
Indicates a relationship where one entity is characterized as a standard, representative, or commonly occurring example of a game for the other entity or context.
- F. None of above.
Provenance (3 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe03244819097630333e70c4e88 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:48 p.m.