Triple
T25466418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Küssnacht |
E638185
|
entity |
| Predicate | KlausjagenInstanceOf |
P158572
|
FINISHED |
| Object | traditional St. Nicholas procession |
—
|
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: traditional St. Nicholas procession | Statement: [Küssnacht, KlausjagenInstanceOf, traditional St. Nicholas procession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KlausjagenInstanceOf Context triple: [Küssnacht, KlausjagenInstanceOf, traditional St. Nicholas procession]
-
A.
TaygeteInstanceOf
Indicates that Taygete is classified as an instance of a specified type, category, or class.
-
B.
sonInstanceOf
Indicates that an entity is a specific instance or example of the general concept or class represented by "son."
-
C.
instanceOf
relation of type constraints
-
D.
namedHorseInstanceOf
Indicates that a specifically named horse is an instance of a particular horse-related class or category.
-
E.
namedAfterInstanceOf
Indicates that one entity is named after another entity that is an instance of a particular class or type.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f74c5df88190a683cddba03a7afe |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:14 p.m.