Triple
T37248913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einführung des Ewigen Landfriedens |
E923936
|
entity |
| Predicate | ersetzt |
P137223
|
FINISHED |
| Object | zeitlich befristete Landfrieden |
—
|
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: zeitlich befristete Landfrieden | Statement: [Einführung des Ewigen Landfriedens, ersetzt, zeitlich befristete Landfrieden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ersetzt Context triple: [Einführung des Ewigen Landfriedens, ersetzt, zeitlich befristete Landfrieden]
-
A.
replacement
chosen
Indicates that one entity takes the place of, or is substituted for, another entity in a given context.
-
B.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
C.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
D.
replacementOutcome
Indicates the result or consequence that follows from one entity being replaced by another.
-
E.
replacementShow
Indicates that one entity is presented or performed as a substitute or stand-in for another entity, typically taking its place in a show, display, or presentation.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.