Triple
T24559944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince-Abbacy of Kempten |
E607622
|
entity |
| Predicate | existedUntilEvent |
P17487
|
FINISHED |
| Object | German mediatization |
—
|
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: German mediatization | Statement: [Prince-Abbacy of Kempten, existedUntilEvent, German mediatization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: existedUntilEvent Context triple: [Prince-Abbacy of Kempten, existedUntilEvent, German mediatization]
-
A.
existedUntil
chosen
Indicates that an entity continued to exist up to, but not necessarily beyond, a specified time or event.
-
B.
existedBeforeEvent
Indicates that the subject entity was already in existence prior to the occurrence of the specified event.
-
C.
existedAtEvent
Indicates that an entity was present or in existence at the time a specific event occurred.
-
D.
existedAfter
Indicates that one entity came into existence only after another entity already existed.
-
E.
tookPlaceUntil
Indicates that an event or situation occurred continuously or repeatedly up to a specified end time or date, after which it no longer took place.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f57a7c8190a0eb8d6d6ef6ae61 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.