Triple
T14596671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Chroniken der deutschen Städte vom 14. bis ins 16. Jahrhundert |
E342585
|
entity |
| Predicate | hasChronologicalScope |
P51981
|
FINISHED |
| Object | Middle Ages to early modern period |
—
|
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: Middle Ages to early modern period | Statement: [Die Chroniken der deutschen Städte vom 14. bis ins 16. Jahrhundert, hasChronologicalScope, Middle Ages to early modern period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChronologicalScope Context triple: [Die Chroniken der deutschen Städte vom 14. bis ins 16. Jahrhundert, hasChronologicalScope, Middle Ages to early modern period]
-
A.
hasChronologicalPhase
chosen
Indicates that something is associated with, or occurs during, a specific chronological phase or time period in a sequence of development or events.
-
B.
hasChronologyStatus
Indicates the temporal or sequential status of something within a chronology, such as whether its position or order in time is known, uncertain, or otherwise classified.
-
C.
hasChronologyRelation
Indicates a temporal ordering relationship between entities, specifying how one relates to another in time (e.g., before, after, or overlapping).
-
D.
hasChronologicalStructure
Indicates that something is organized or arranged according to the order in which events occur over time.
-
E.
chronologicallyBetween
Indicates that one event or time point occurs after a first reference point and before a second reference point in temporal order.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43581348190b5362251c3a89654 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.