Triple
T3026837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theatrum Orbis Terrarum |
E82794
|
entity |
| Predicate | laterEditionApproximateNumberOfMaps |
P44719
|
FINISHED |
| Object | over 100 maps |
—
|
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: over 100 maps | Statement: [Theatrum Orbis Terrarum, laterEditionApproximateNumberOfMaps, over 100 maps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterEditionApproximateNumberOfMaps Context triple: [Theatrum Orbis Terrarum, laterEditionApproximateNumberOfMaps, over 100 maps]
-
A.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
B.
approximateDistancePerEdition
Indicates the estimated distance associated with each individual edition or version of something, typically averaged or approximated per edition.
-
C.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
D.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
-
E.
pageCountFirstEdition
Indicates the number of pages contained in the first edition of an item.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abd85348190aba9e40658697665 |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.