Triple
T21170127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Student |
E521667
|
entity |
| Predicate | canConvertTo |
P120301
|
FINISHED |
| Object | standard Amazon Prime membership after graduation |
—
|
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: standard Amazon Prime membership after graduation | Statement: [Prime Student, canConvertTo, standard Amazon Prime membership after graduation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canConvertTo Context triple: [Prime Student, canConvertTo, standard Amazon Prime membership after graduation]
-
A.
convertsTo
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
B.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
C.
convertsFrom
Indicates that one entity is transformed or changed into another entity, with the source being the starting form or state.
-
D.
canTransform
chosen
Indicates that one entity is capable of being changed or converted into another entity or state.
-
E.
isForcedToConvertTo
Indicates that one entity is compelled, against its will, to change its beliefs, affiliation, or status to match that of 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72712893081908e394ccc7e0cbb53 |
completed | April 21, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3 p.m.