Triple
T15990254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Book |
E387804
|
entity |
| Predicate | originalNotebookPages |
P1468
|
FINISHED |
| Object | approximately 193 |
—
|
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: approximately 193 | Statement: [Scottish Book, originalNotebookPages, approximately 193]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNotebookPages Context triple: [Scottish Book, originalNotebookPages, approximately 193]
-
A.
numberOfSheets
Indicates the quantity of individual sheets associated with or contained in an entity.
-
B.
originNote
Indicates a note or comment that explains the origin, source, or provenance of an entity or relationship.
-
C.
pages
chosen
Indicates that one entity consists of or contains a certain number of pages, or that a specific page-related attribute is associated with it.
-
D.
pageCountFirstEdition
Indicates the number of pages contained in the first edition of an item.
-
E.
notabilityStatus
Indicates whether and how an entity is recognized as notable or significant within a given context or system.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.