Triple
T22022557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic 8 Ball |
E543878
|
entity |
| Predicate | hasCategoryOfAnswers |
P82611
|
FINISHED |
| Object | affirmative |
—
|
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: affirmative | Statement: [Magic 8 Ball, hasCategoryOfAnswers, affirmative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCategoryOfAnswers Context triple: [Magic 8 Ball, hasCategoryOfAnswers, affirmative]
-
A.
hasAnswerEntriesIn
Indicates that an entity has one or more answer entries stored or recorded within a specified container, context, or collection.
-
B.
hasCategories
chosen
Indicates that an entity is associated with one or more categories that classify or group it.
-
C.
hasAnswerType
Indicates that a question or query is associated with a specific type or category of expected answer.
-
D.
hasCategoryOn
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
E.
hasKeyQuestion
Indicates that one entity possesses or is associated with a primary or central question relevant to another entity.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c8ac6881909a9e96e0873a3ae2 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:23 p.m.