Triple
T25852135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoppelmarkt in Vechta |
E651238
|
entity |
| Predicate | oneOfGermanys |
P162123
|
FINISHED |
| Object | largest traditional folk fairs |
—
|
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: largest traditional folk fairs | Statement: [Stoppelmarkt in Vechta, oneOfGermanys, largest traditional folk fairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfGermanys Context triple: [Stoppelmarkt in Vechta, oneOfGermanys, largest traditional folk fairs]
-
A.
oneOfGermanys
chosen
Indicates that something or someone belongs to the set of entities that are part of, originate from, or are associated with Germany.
-
B.
objectiveGermany
Indicates that an entity has Germany as its objective, target, or goal in a given context.
-
C.
GermanyFormation
Indicates the event or process by which Germany was established or formed as a political entity.
-
D.
confederationOfGermany
Indicates a relationship in which an entity is part of, associated with, or constitutes the Confederation of Germany as a political union or alliance.
-
E.
federalStateOfGermany
Indicates that one entity is a federal state (Bundesland) that is a constituent state within the country of Germany.
- 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 7:59 a.m.