Triple
T4778244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay Psalm Book |
E106105
|
entity |
| Predicate | survivingCopiesOfFirstEdition |
P59261
|
FINISHED |
| Object | fewer than a dozen |
—
|
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: fewer than a dozen | Statement: [Bay Psalm Book, survivingCopiesOfFirstEdition, fewer than a dozen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingCopiesOfFirstEdition Context triple: [Bay Psalm Book, survivingCopiesOfFirstEdition, fewer than a dozen]
-
A.
firstEditionVolumes
Indicates that the subject is a work or publication and the object is the number of volumes in its first edition.
-
B.
firstEditionType
Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
-
C.
firstEditionCategory
Indicates that an item belongs to a category specifically defined for its first edition.
-
D.
firstEditionResult
Indicates that one entity is the outcome, record, or result associated specifically with the first edition of another entity.
-
E.
firstEditionPrintRun
Indicates the initial quantity of copies produced when a work is printed in its first published edition.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6922407481908565ed0b1dac2b30 |
completed | March 20, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:21 p.m.