Triple
T25987328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALLBLK |
E646236
|
entity |
| Predicate | hasSubscriptionType |
P176266
|
FINISHED |
| Object | monthly subscription |
—
|
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: monthly subscription | Statement: [ALLBLK, hasSubscriptionType, monthly subscription]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubscriptionType Context triple: [ALLBLK, hasSubscriptionType, monthly subscription]
-
A.
hasMembershipFeeType
Indicates the type or category of membership fee that applies to a given membership or member.
-
B.
hasSubscriptionList
Indicates that an entity maintains or is associated with a collection of subscriptions.
-
C.
hadMembershipType
Indicates that an entity possessed or was assigned a specific type or category of membership.
-
D.
hasTypeOfCredit
Indicates that an entity is associated with or characterized by a specific type or category of credit.
-
E.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 22, 2026, 8:55 a.m.