Triple
T14067466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siebenbürger Sachsen |
E338511
|
entity |
| Predicate | majorReligiousChangePeriod |
P28896
|
FINISHED |
| Object | 16th century |
—
|
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: 16th century | Statement: [Siebenbürger Sachsen, majorReligiousChangePeriod, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorReligiousChangePeriod Context triple: [Siebenbürger Sachsen, majorReligiousChangePeriod, 16th century]
-
A.
religiousConversionPeriod
chosen
Indicates the time span during which an entity undergoes or is involved in a process of religious conversion.
-
B.
associatedReligionPhase
Indicates the specific phase or stage of a religion with which an entity is associated.
-
C.
religionBeforeReformation
Indicates that an entity’s religious affiliation or practice existed or was established prior to the historical period known as the Reformation.
-
D.
laterRevertedReligion
Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
-
E.
doctrinalChange
Indicates a modification or shift in an established set of principles, teachings, or doctrines within a belief or rule system.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:21 p.m.