Triple

T19193076
Position Surface form Disambiguated ID Type / Status
Subject Stanislav Gross E469891 entity
Predicate officeEndTime (Minister of the Interior of the Czech Republic) P74776 FINISHED
Object 2004-09-04 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: 2004-09-04 | Statement: [Stanislav Gross, officeEndTime (Minister of the Interior of the Czech Republic), 2004-09-04]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Minister of the Interior of the Czech Republic)
Context triple: [Stanislav Gross, officeEndTime (Minister of the Interior of the Czech Republic), 2004-09-04]
  • A. officeEndTime (Minister of the Interior) chosen
    Indicates the time at which a person's tenure as Minister of the Interior comes to an end.
  • B. officeStartTime (Minister of the Interior)
    Indicates the date and/or time at which a person began serving as Minister of the Interior.
  • C. officeEndTime (Secretary of the Interior)
    Indicates the time at which the Secretary of the Interior’s term in office or service period concludes.
  • D. officeEndTime (Minister of Justice of Italy)
    Indicates the time at which a person's term as Minister of Justice of Italy comes to an end.
  • E. officeEndTime (Mayor of Vienna)
    Indicates the time at which the Mayor of Vienna’s term in office concludes.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a3434881908acc4063a9ee9386 completed April 20, 2026, 9:57 a.m.
PD Predicate disambiguation batch_69e4b9bb158481909478ca2e06f3ba39 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:07 p.m.