Triple

T3882128
Position Surface form Disambiguated ID Type / Status
Subject Herr Bundeskanzler E92847 entity
Predicate hasFeminineForm P1613 FINISHED
Object Frau Bundeskanzlerin E53505 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: Frau Bundeskanzlerin | Statement: [Herr Bundeskanzler, hasFeminineForm, Frau Bundeskanzlerin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frau Bundeskanzlerin
Context triple: [Herr Bundeskanzler, hasFeminineForm, Frau Bundeskanzlerin]
  • A. Frau Bundeskanzlerin chosen
    Frau Bundeskanzlerin is the formal German mode of address used for a woman serving as the Federal Chancellor of Germany.
  • B. Herr Bundeskanzler
    Herr Bundeskanzler is the formal German honorific style used to address the Federal Chancellor of Austria.
  • C. Hannelore Kohl
    Hannelore Kohl was a German translator and the longtime wife of former Chancellor Helmut Kohl, known for her public role during his tenure and her later struggles with a debilitating light allergy.
  • D. Bärbel
    Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
  • E. Angela Merkel
    Angela Merkel is a German politician who served as Chancellor of Germany from 2005 to 2021 and became one of the most influential leaders in Europe and the world.
  • 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_69aed9697de0819087c2559295ff3d12 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeec8d5c1c8190906294177f3ad49e completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512594fa081909ba2afad11f6ea59 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.