Triple
T25549826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM Student Member |
E640407
|
entity |
| Predicate | hasMembershipFeeType |
P168891
|
FINISHED |
| Object | reduced student rate |
—
|
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: reduced student rate | Statement: [ACM Student Member, hasMembershipFeeType, reduced student rate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMembershipFeeType Context triple: [ACM Student Member, hasMembershipFeeType, reduced student rate]
-
A.
chargesMembershipFee
Indicates that an entity requires another entity to pay a membership fee in order to access its services, benefits, or participation.
-
B.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
-
C.
hasStudentMembership
Indicates that an entity holds or is associated with a membership specifically designated for students.
-
D.
hadMembershipType
Indicates that an entity possessed or was assigned a specific type or category of membership.
-
E.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
- F. None of above. chosen
Provenance (4 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 21, 2026, 3:36 p.m.