Triple
T17035670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESRB M |
E413314
|
entity |
| Predicate | typicalRetailPolicy |
P107805
|
FINISHED |
| Object | ID check for under-17 customers |
—
|
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: ID check for under-17 customers | Statement: [ESRB M, typicalRetailPolicy, ID check for under-17 customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRetailPolicy Context triple: [ESRB M, typicalRetailPolicy, ID check for under-17 customers]
-
A.
merchandisingPolicy
chosen
Indicates the rules or guidelines governing how products are presented, promoted, and sold within a retail or commercial context.
-
B.
refundPolicy
Indicates the terms and conditions under which payments are returned or compensated after a purchase or transaction.
-
C.
conditionOfReturn
Indicates the specific terms or requirements under which something that was previously given, lent, or transferred must be returned.
-
D.
commercialPolicy
Indicates that there is a defined set of commercial terms, rules, or conditions governing transactions or business interactions between the related entities.
-
E.
hasRetailOption
Indicates that one entity offers, includes, or is associated with a particular retail option (such as a sales channel, purchase method, or retail configuration) for 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.