Triple
T30943217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain Knot City |
E788316
|
entity |
| Predicate | importanceInGameplay |
P118563
|
FINISHED |
| Object | key progression point in main story |
—
|
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: key progression point in main story | Statement: [Mountain Knot City, importanceInGameplay, key progression point in main story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceInGameplay Context triple: [Mountain Knot City, importanceInGameplay, key progression point in main story]
-
A.
gameplayImpact
chosen
Indicates how one element in a game affects the mechanics, difficulty, or overall experience of playing that game.
-
B.
gameModeRelevance
Indicates how strongly or in what way something is related or applicable to a particular game mode.
-
C.
importanceInRacing
Indicates the degree to which something plays a significant or influential role within the context of racing.
-
D.
importanceInSeason
Indicates the degree to which something is significant or influential within a specific season or seasonal context.
-
E.
notableGameFeature
Indicates that a particular game feature is especially significant, distinctive, or noteworthy in the context of the game.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 29, 2026, 8:53 p.m.