Triple
T21030887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibliothèque cantonale et universitaire – Lausanne |
E518058
|
entity |
| Predicate | hasLendingServices |
P123363
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bibliothèque cantonale et universitaire – Lausanne, hasLendingServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLendingServices Context triple: [Bibliothèque cantonale et universitaire – Lausanne, hasLendingServices, yes]
-
A.
hasLendingInstrument
Indicates that an entity possesses or utilizes a specific financial instrument used for lending.
-
B.
lendingArm
Indicates that one entity provides financial support or resources to another, typically in the form of a loan or credit.
-
C.
isLendingLibrary
chosen
Indicates that an entity functions as a library that lends items (such as books or media) to users.
-
D.
hasBanking
Indicates that one entity provides or is associated with banking services or facilities for another entity.
-
E.
servesBank
Indicates that one entity provides banking or financial services to 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc81adf08190ba3312d0867a5388 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.