Triple
T19074998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firkovich B19A |
E466880
|
entity |
| Predicate | digitalFacsimileAvailable |
P8017
|
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: [Firkovich B19A, digitalFacsimileAvailable, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitalFacsimileAvailable Context triple: [Firkovich B19A, digitalFacsimileAvailable, yes]
-
A.
hasDigitalArchive
Indicates that an entity maintains or is associated with a collection of materials stored in a digital archive.
-
B.
hasDigitalForm
chosen
Indicates that something exists or is available in a digital or electronic format.
-
C.
digitizedBy
Indicates that a physical or analog item has been converted into digital form by a particular agent or organization.
-
D.
hasDigitalFacade
Indicates that an entity possesses a digital interface or representation that serves as its outward-facing surface or presentation.
-
E.
digitalPublisher
Indicates the entity that is responsible for publishing the resource in a digital format.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e3c7b08190bf6448ead11ba916 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.