Triple

T15774024
Position Surface form Disambiguated ID Type / Status
Subject Verband der Hafenarbeiter E382439 entity
Predicate politischerKontext P24043 FINISHED
Object deutsche Arbeiterbewegung 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: deutsche Arbeiterbewegung | Statement: [Verband der Hafenarbeiter, politischerKontext, deutsche Arbeiterbewegung]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politischerKontext
Context triple: [Verband der Hafenarbeiter, politischerKontext, deutsche Arbeiterbewegung]
  • A. involvedPoliticalContext chosen
    Indicates that an entity participated in, was affected by, or is otherwise connected to a particular political situation, environment, or set of political circumstances.
  • B. namedForPoliticalContext
    Indicates that something is named in reference to a specific political situation, event, ideology, or figure.
  • C. statePoliticalContext
    Indicates the political situation, structures, or dynamics associated with a particular state or governmental entity.
  • D. languageOfPoliticalContext
    Indicates the language in which a given political context, discourse, or situation is expressed or conducted.
  • E. politicalCategory
    Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
  • 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.