Triple
T11528139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krampus |
E273350
|
entity |
| Predicate | KrampuslaufDefinition |
P99544
|
FINISHED |
| Object | parade or run featuring people dressed as Krampus |
—
|
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: parade or run featuring people dressed as Krampus | Statement: [Krampus, KrampuslaufDefinition, parade or run featuring people dressed as Krampus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KrampuslaufDefinition Context triple: [Krampus, KrampuslaufDefinition, parade or run featuring people dressed as Krampus]
-
A.
tramples
Indicates that one entity crushes, damages, or overrides another by forcefully stepping or pressing down on it, often implying dominance or disregard.
-
B.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
C.
ranIn
Indicates that an entity performed a running action within or during a specified location, context, or time frame.
-
D.
runsBeneath
Indicates that one entity extends or moves below another entity along its length or span.
-
E.
laps
Indicates that one entity moves around another entity or a course, typically completing a circuit or overtaking it.
- F. None of above. chosen
Provenance (4 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d883972b10819093bd09cf8406671c |
completed | April 10, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:37 p.m.