Triple
T3778264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MyGM mode |
E83358
|
entity |
| Predicate | gameModeType |
P8300
|
FINISHED |
| Object | single-player |
—
|
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: single-player | Statement: [MyGM mode, gameModeType, single-player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameModeType Context triple: [MyGM mode, gameModeType, single-player]
-
A.
primaryGameMode
Indicates the main or default game mode associated with a particular game or gaming context.
-
B.
hasGameType
chosen
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
C.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
-
D.
playType
Indicates the specific category or style of play or performance associated with an event or action.
-
E.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.