Triple
T6171621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge Public Library main branch |
E137712
|
entity |
| Predicate | offersLibraryCardsTo |
P56854
|
FINISHED |
| Object | Cambridge residents |
—
|
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: Cambridge residents | Statement: [Cambridge Public Library main branch, offersLibraryCardsTo, Cambridge residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersLibraryCardsTo Context triple: [Cambridge Public Library main branch, offersLibraryCardsTo, Cambridge residents]
-
A.
offersMemberships
chosen
Indicates that an entity provides or makes available membership options or programs to other entities.
-
B.
offersPass
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
-
C.
offersAccess
Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
-
D.
offersDigitalBorrowingThrough
Indicates that one entity provides access to borrow digital items or content via another entity or platform.
-
E.
offersEdition
Indicates that one entity provides or makes available a particular version or edition 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d910c3c8190ae6af548259295ff |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.