Triple
T15535613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cookie Land |
E370331
|
entity |
| Predicate | gameSubgenreContext |
P15287
|
FINISHED |
| Object | arena battle |
—
|
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: arena battle | Statement: [Cookie Land, gameSubgenreContext, arena battle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameSubgenreContext Context triple: [Cookie Land, gameSubgenreContext, arena battle]
-
A.
gameGenreContext
Indicates the genre or type of game associated with a given game entity or gaming context.
-
B.
subgenre
chosen
Indicates that one genre is a more specific, subordinate category within a broader parent genre.
-
C.
websiteGenre
Indicates the thematic category or type of content that a website is primarily associated with.
-
D.
secondaryGenre
Indicates that an entity (such as a work or item) has an additional, non-primary genre classification associated with it.
-
E.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:06 a.m.