Triple
T5079600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bowser’s Castle |
E114481
|
entity |
| Predicate | hasFunctionInGames |
P61300
|
FINISHED |
| Object | final level |
—
|
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: final level | Statement: [Bowser’s Castle, hasFunctionInGames, final level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFunctionInGames Context triple: [Bowser’s Castle, hasFunctionInGames, final level]
-
A.
hasFictionalFunction
Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
-
B.
hasGamesAt
Indicates that a particular location, venue, or platform hosts or offers one or more games.
-
C.
hasMythicFunction
Indicates that something serves a symbolic, narrative, or ritual role within a mythic or mythological framework.
-
D.
hasFunctionInScore
Indicates that an entity serves a specific functional role within a musical score.
-
E.
hasSpecialGames
Indicates that an entity is associated with particular games that are distinguished from its regular or standard games in some special way.
- F. None of above. chosen
Provenance (4 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7157fe608190b4515d56fdd0a616 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73d90b608190bd6c2407e84e2b64 |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.