Triple
T26320880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fridericiana |
E662104
|
entity |
| Predicate | hasMergerSuccessor |
P102205
|
FINISHED |
| Object | Karlsruhe Institute of Technology |
—
|
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: Karlsruhe Institute of Technology | Statement: [Fridericiana, hasMergerSuccessor, Karlsruhe Institute of Technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMergerSuccessor Context triple: [Fridericiana, hasMergerSuccessor, Karlsruhe Institute of Technology]
-
A.
hasMerger
Indicates a relationship where two or more entities combine into a single entity through a merger event.
-
B.
hasFlagshipSuccessor
Indicates that one entity serves as the primary or leading successor to another, typically replacing it as the main or flagship version, product, or instance.
-
C.
precededByMerger
Indicates that one entity existed or occurred before another as a result of a merger that led to the latter entity.
-
D.
laterMergedWith
chosen
Indicates that one entity was combined into and became part of another entity at a subsequent point in time.
-
E.
hasOnlineSuccessor
Indicates that one entity is the direct online or digital successor of another, typically replacing or continuing its function in an online context.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 26, 2026, 10:28 p.m.