Triple
T6046999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weybridge Library |
E134690
|
entity |
| Predicate | hasBorrowingSystem |
P68397
|
FINISHED |
| Object | library membership cards |
—
|
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: library membership cards | Statement: [Weybridge Library, hasBorrowingSystem, library membership cards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorrowingSystem Context triple: [Weybridge Library, hasBorrowingSystem, library membership cards]
-
A.
hasCirculationFeature
Indicates that an entity possesses a specific feature related to movement or flow within a system, such as circulation paths, routes, or mechanisms.
-
B.
canBorrowFrom
Indicates that one entity is permitted or able to borrow something (such as resources, items, or privileges) from another entity.
-
C.
libraryStatus
Indicates the current availability or circulation state of an item within a library system (e.g., available, checked out, on hold).
-
D.
librarySystem
Indicates a relationship where an organized framework or infrastructure manages, catalogs, and provides access to library resources and services.
-
E.
offersDigitalBorrowingThrough
Indicates that one entity provides access to borrow digital items or content via another entity or platform.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:09 p.m.