Triple

T13569339
Position Surface form Disambiguated ID Type / Status
Subject Johannes Rau E324116 entity
Predicate termEndAsPresidentOfGermany P74950 FINISHED
Object 2004 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: 2004 | Statement: [Johannes Rau, termEndAsPresidentOfGermany, 2004]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termEndAsPresidentOfGermany
Context triple: [Johannes Rau, termEndAsPresidentOfGermany, 2004]
  • A. endTime (President of Germany) chosen
    Indicates the date and time at which a person’s term as President of Germany concludes.
  • B. formerChancellor
    Indicates that one entity previously held the position or role of chancellor of the other entity, but no longer does.
  • C. termEndAsAmbassadorToGermany
    Indicates that an entity’s service as ambassador to Germany has concluded at a specified time or under specified conditions.
  • D. officeEnd (Chancellor of Germany)
    Indicates the date or point in time when an individual's term as Chancellor of Germany comes to an end.
  • E. startTime (President of Germany)
    Indicates the point in time at which a person’s term as President of Germany begins.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00f5b8881908617f42d227ed137 completed April 12, 2026, 2:45 p.m.
PD Predicate disambiguation batch_69dbae161a0481909f9d3f40ca4e0ac5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:48 p.m.