Triple
T15774021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verband der Hafenarbeiter |
E382439
|
entity |
| Predicate | Gewerkschaftstyp |
P99297
|
FINISHED |
| Object | Berufsgewerkschaft |
—
|
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: Berufsgewerkschaft | Statement: [Verband der Hafenarbeiter, Gewerkschaftstyp, Berufsgewerkschaft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Gewerkschaftstyp Context triple: [Verband der Hafenarbeiter, Gewerkschaftstyp, Berufsgewerkschaft]
-
A.
laborUnion
Indicates that an entity is a labor union representing workers in collective employment-related matters.
-
B.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
-
C.
employmentType
Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
-
D.
hasTradeUnionWing
Indicates that an organization has an affiliated trade union branch or division that represents workers’ interests.
-
E.
collectiveOrganizationType
chosen
Indicates the specific kind or category of collective organization that an entity belongs to or is classified as.
- 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.