Triple
T15007014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Reference Library |
E377734
|
entity |
| Predicate | borrowingPolicy |
P10263
|
FINISHED |
| Object | primarily non-lending collection |
—
|
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: primarily non-lending collection | Statement: [State Reference Library, borrowingPolicy, primarily non-lending collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borrowingPolicy Context triple: [State Reference Library, borrowingPolicy, primarily non-lending collection]
-
A.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
B.
bookingPolicy
Indicates the rules or conditions that govern how bookings or reservations can be made, modified, or canceled between parties.
-
C.
collectionPolicy
chosen
Indicates the rules or guidelines that govern how items are gathered, selected, and managed within a collection.
-
D.
venuePolicy
Indicates the rules or guidelines that govern how activities or events may be conducted at a particular venue.
-
E.
conversionPolicyImposedBy
Indicates that a specific conversion policy is mandated or enforced by a particular authority or 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.