Triple
T17483376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rumsey |
E425717
|
entity |
| Predicate | hasDigitalCollectionSize |
P127632
|
FINISHED |
| Object | tens of thousands of digitized maps |
—
|
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: tens of thousands of digitized maps | Statement: [David Rumsey, hasDigitalCollectionSize, tens of thousands of digitized maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDigitalCollectionSize Context triple: [David Rumsey, hasDigitalCollectionSize, tens of thousands of digitized maps]
-
A.
hasDigitalCollections
Indicates that an entity possesses or provides access to one or more collections of materials in digital form.
-
B.
hasDigitalArchive
Indicates that an entity maintains or is associated with a collection of materials stored in a digital archive.
-
C.
hasDigitalLibrary
Indicates that an entity maintains or provides access to a collection of digital resources or publications.
-
D.
hasDigitalLibraryServices
Indicates that an entity provides or supports access to digital library-related services or resources.
-
E.
hasDigitalAccess
Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d06c2881909632845dd7a6b1e3 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.