Triple
T24071103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neustadtl an der Donau |
E596230
|
entity |
| Predicate | hasNotableHistoricalEvent |
P2107
|
FINISHED |
| Object | death of Ernst Gideon von Laudon |
—
|
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: death of Ernst Gideon von Laudon | Statement: [Neustadtl an der Donau, hasNotableHistoricalEvent, death of Ernst Gideon von Laudon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableHistoricalEvent Context triple: [Neustadtl an der Donau, hasNotableHistoricalEvent, death of Ernst Gideon von Laudon]
-
A.
hasHistoricalEvent
chosen
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
B.
hasNotableHistoricalAssociation
Indicates that there is a significant connection between an entity and an important historical event, figure, period, or development.
-
C.
hasNamesakeNotableEvent
Indicates that one entity serves as the namesake for a notable event associated with the other entity.
-
D.
hasNotablePersonEvent
Indicates that there exists a significant event in which the person plays a notable or central role.
-
E.
notableEventIncluded
Indicates that a particular notable event is contained within, or forms part of, a larger collection, record, or 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db191d288190af438be742e02252 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.