Triple
T4827971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nova Totius Terrarum Orbis Geographica ac Hydrographica Tabula |
E107870
|
entity |
| Predicate | representationScope |
P14568
|
FINISHED |
| Object | entire known world |
—
|
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: entire known world | Statement: [Nova Totius Terrarum Orbis Geographica ac Hydrographica Tabula, representationScope, entire known world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representationScope Context triple: [Nova Totius Terrarum Orbis Geographica ac Hydrographica Tabula, representationScope, entire known world]
-
A.
identificationScope
Indicates the contextual boundary or extent within which an entity is uniquely identified or recognized.
-
B.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
C.
coverageScope
chosen
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
D.
representation
Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
-
E.
encodingScope
Indicates the range or extent of content or information that is covered, represented, or captured by a particular encoding.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.