Triple
T31816410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozart auf der Reise nach Prag |
E812146
|
entity |
| Predicate | fictionalizedEpisode |
P3171
|
FINISHED |
| Object | Mozart’s journey to Prague |
—
|
NE NERFINISHED |
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: Mozart’s journey to Prague | Statement: [Mozart auf der Reise nach Prag, fictionalizedEpisode, Mozart’s journey to Prague]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalizedEpisode Context triple: [Mozart auf der Reise nach Prag, fictionalizedEpisode, Mozart’s journey to Prague]
-
A.
narrativeEpisode
Indicates that one event, scene, or segment functions as a distinct episode within a larger narrative or storyline.
-
B.
fictionalBroadcastType
Indicates that the relationship specifies the type or category of a fictional broadcast associated with an entity.
-
C.
fictionalizationOf
chosen
Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
-
D.
narratesEpisode
Indicates that one entity tells or recounts a specific episode or event involving another entity.
-
E.
writtenInEpisodeBy
Indicates that a specific episode was written by a particular writer or author.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: April 30, 2026, 11:44 p.m.