Triple
T25385756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Samuel König |
E631517
|
entity |
| Predicate | hasAcademicDisputeWith |
P26178
|
FINISHED |
| Object | Leonhard Euler |
—
|
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: Leonhard Euler | Statement: [Johann Samuel König, hasAcademicDisputeWith, Leonhard Euler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicDisputeWith Context triple: [Johann Samuel König, hasAcademicDisputeWith, Leonhard Euler]
-
A.
contestedByUniversity
Indicates that a university formally challenges, disputes, or opposes something, such as a claim, decision, or status.
-
B.
disputeInvolves
chosen
Indicates that a particular dispute includes or concerns the specified entities as participants or parties to the conflict.
-
C.
laterDisputedBy
Indicates that a previously made claim, statement, or assertion is subsequently challenged, questioned, or contradicted by another party.
-
D.
legalDisputeSubject
Indicates that a legal dispute concerns, involves, or is specifically about the referenced subject or matter.
-
E.
partOfWiderDispute
Indicates that one dispute is a component or subset of a larger, overarching dispute or conflict.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 1:47 p.m.