Triple

T11874062
Position Surface form Disambiguated ID Type / Status
Subject Bundesminister E282477 entity
Predicate hasPluralForm P5088 FINISHED
Object Bundesminister E282477 NE 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: Bundesminister | Statement: [Bundesminister, hasPluralForm, Bundesminister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesminister
Context triple: [Bundesminister, hasPluralForm, Bundesminister]
  • A. Bundesminister chosen
    Bundesminister is the German term for a federal government minister who heads a specific ministry within the Federal Cabinet.
  • B. 国務大臣
    国務大臣は、日本の内閣を構成し各行政分野の政策立案と執行を担う高位の政府閣僚を指す。
  • C. Bundesministerium
    Das Bundesministerium ist eine oberste Bundesbehörde in Deutschland, die für die Vorbereitung und Umsetzung der Politik der Bundesregierung in einem bestimmten Fachbereich zuständig ist.
  • D. State Secretary
    A State Secretary is a senior government official who typically serves as a deputy to a minister, overseeing specific policy areas within a ministry.
  • E. Landesminister
    Ein Landesminister ist ein Mitglied der Regierung eines deutschen Bundeslandes, das ein bestimmtes Ressort politisch leitet und für dessen fachliche und administrative Steuerung verantwortlich ist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1a22448190bd0722188c14d7bd completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fd661f481909b1f7609540e42d7 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:43 p.m.