Triple
T15773929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verband der Nahrungsmittel- und Genussmittelarbeiter |
E382436
|
entity |
| Predicate | unionDomain |
P104922
|
FINISHED |
| Object | Nahrungsmittelgewerbe |
—
|
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: Nahrungsmittelgewerbe | Statement: [Verband der Nahrungsmittel- und Genussmittelarbeiter, unionDomain, Nahrungsmittelgewerbe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionDomain Context triple: [Verband der Nahrungsmittel- und Genussmittelarbeiter, unionDomain, Nahrungsmittelgewerbe]
-
A.
memberUnion
Indicates that an entity is a member (part of) a specified union or collective group.
-
B.
union
Indicates that two or more sets are combined into a single set containing all elements that belong to at least one of them.
-
C.
unionRepresents
Indicates that one entity serves as the official representative or acting body on behalf of a union in relation to another entity or context.
-
D.
unionForm
Indicates that an entity is a form, document, or process used to establish, join, or manage membership in a union or union-related organization.
-
E.
unionDepartment
chosen
Indicates that a department is associated with, represented by, or covered by a particular union.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.