Triple

T786289
Position Surface form Disambiguated ID Type / Status
Subject Federal Chancellor of Austria E16809 entity
Predicate style P87 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: [Federal Chancellor of Austria, style, Frau Bundeskanzlerin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frau Bundeskanzlerin
Context triple: [Federal Chancellor of Austria, style, 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a77fcc6881908a025bb21e44ad56 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:38 p.m.