Triple
T9416504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang |
E227033
|
entity |
| Predicate | hasHistoricalPopularity |
P27434
|
FINISHED |
| Object | medieval Germany |
—
|
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: medieval Germany | Statement: [Wolfgang, hasHistoricalPopularity, medieval Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalPopularity Context triple: [Wolfgang, hasHistoricalPopularity, medieval Germany]
-
A.
historicallyPopularIn
chosen
Indicates that something was notably popular or widely favored within a particular place or context during a past historical period.
-
B.
historicallySoughtBy
Indicates that one entity has been actively pursued, desired, or searched for by another entity in the past.
-
C.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
D.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
-
E.
hasHistoricalCategory
Indicates that something is associated with a particular historical classification, period, or type based on its past context or significance.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c9917481909f793a2a9efb2a75 |
completed | April 1, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:48 p.m.