Triple
T28453780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladybird Books |
E716651
|
entity |
| Predicate | typicalPageCount |
P1468
|
FINISHED |
| Object | 56 pages |
—
|
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: 56 pages | Statement: [Ladybird Books, typicalPageCount, 56 pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPageCount Context triple: [Ladybird Books, typicalPageCount, 56 pages]
-
A.
pageCountType
Indicates the type or category used to classify how the number of pages is measured or represented.
-
B.
hasPageCountApprox
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
C.
pageCountUSHardcover
Indicates the number of pages in the U.S. hardcover edition of a work.
-
D.
numberOfSheets
Indicates the quantity of individual sheets associated with or contained in an entity.
-
E.
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.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a00a846a8f881908b073ad13a5af6ca |
completed | May 10, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_6a00a7aae194819085e1a2fd406f7922 |
completed | May 10, 2026, 3:43 p.m. |
Created at: April 28, 2026, 1:53 a.m.