Triple
T27890688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAR Library |
E705345
|
entity |
| Predicate | offersOnlineCatalog |
P9162
|
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: [DAR Library, offersOnlineCatalog, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersOnlineCatalog Context triple: [DAR Library, offersOnlineCatalog, yes]
-
A.
hasOnlineCatalog
chosen
Indicates that an entity provides a catalog of its items or offerings that is accessible via the internet.
-
B.
offersWorksBy
Indicates that one entity makes works created by another entity available, such as for sale, display, or access.
-
C.
offersServiceOn
Indicates that one entity provides or makes a service available on, during, or through another entity (such as a platform, date, or location).
-
D.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
E.
offersMass
Indicates that one entity provides or makes available a certain mass or quantity of material or substance 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 27, 2026, 6:35 p.m.