Triple
T15786979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universalis Cosmographia |
E382760
|
entity |
| Predicate | numberOfSheets |
P120012
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Universalis Cosmographia, numberOfSheets, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSheets Context triple: [Universalis Cosmographia, numberOfSheets, 12]
-
A.
numberOfLeaflets
Indicates the count of individual leaflets associated with or contained within a given entity.
-
B.
numberOfSlides
Indicates the total count of slides associated with or contained within a given entity or presentation.
-
C.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
-
D.
leafletsPerLeaf
Indicates the number of individual leaflets that are present on each single leaf.
-
E.
hasPaper
Indicates that an entity possesses, is associated with, or includes a specific paper (such as a document, publication, or written work) in some relevant context.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0540380448190a025338f0e62e6d1 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e006b17f7881908b8c7a37f0af4581 |
completed | April 15, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:48 a.m.