Triple
T11545118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boomsday Project |
E273758
|
entity |
| Predicate | singlePlayerModeType |
P43217
|
FINISHED |
| Object | puzzle challenges |
—
|
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: puzzle challenges | Statement: [The Boomsday Project, singlePlayerModeType, puzzle challenges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singlePlayerModeType Context triple: [The Boomsday Project, singlePlayerModeType, puzzle challenges]
-
A.
hasSinglePlayer
chosen
Indicates that something includes, supports, or is designed for a single-player mode or experience.
-
B.
primaryGameMode
Indicates the main or default game mode associated with a particular game or gaming context.
-
C.
primaryGameType
Indicates the main category or type of game with which an entity is primarily associated.
-
D.
singleType
Indicates that an entity belongs to exactly one specific type or category, with no additional types assigned.
-
E.
multiplayerType
Indicates the type or mode of multiplayer interaction supported between participants.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.