Triple
T29106088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black & White |
E736765
|
entity |
| Predicate | hasTutorial |
P95859
|
FINISHED |
| Object | in-game tutorial |
—
|
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: in-game tutorial | Statement: [Black & White, hasTutorial, in-game tutorial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTutorial Context triple: [Black & White, hasTutorial, in-game tutorial]
-
A.
hasTutorialIn
chosen
Indicates that one entity provides or includes a tutorial within the context or medium of another entity.
-
B.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
C.
hasTrainingTrack
Indicates that an entity is associated with or assigned to a specific training track or program.
-
D.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
E.
hasTourAccess
Indicates that an entity is permitted to enter or participate in a specified tour.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661ba062881909fa3d7b23938e2ab |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:15 a.m.