Triple
T16863976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | News of the World |
E409990
|
entity |
| Predicate | pageCountTypical |
P9415
|
FINISHED |
| Object | around 64 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: around 64 pages | Statement: [News of the World, pageCountTypical, around 64 pages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pageCountTypical Context triple: [News of the World, pageCountTypical, around 64 pages]
-
A.
hasPageCountApprox
chosen
Indicates that an entity is associated with an approximate or estimated number of pages, rather than an exact page count.
-
B.
pageSize
Indicates the size or amount of content (such as items, records, or data) that is included or displayed on a single page.
-
C.
numberOfSheets
Indicates the quantity of individual sheets associated with or contained in an entity.
-
D.
linesPerPage
Indicates the number of lines that are contained or displayed on a single page.
-
E.
pages
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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b505a390819097ec31cd210eca60 |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.