Triple

T1713777
Position Surface form Disambiguated ID Type / Status
Subject German-speaking Community E37242 entity
Predicate highestPoliticalOfficeTitle P25165 FINISHED
Object Minister-President of the German-speaking Community 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: Minister-President of the German-speaking Community | Statement: [German-speaking Community, highestPoliticalOfficeTitle, Minister-President of the German-speaking Community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: highestPoliticalOfficeTitle
Context triple: [German-speaking Community, highestPoliticalOfficeTitle, Minister-President of the German-speaking Community]
  • A. politicalChiefTitle chosen
    Indicates the official title held by the leading political authority of a given entity or jurisdiction.
  • B. officeHolderTitle
    Indicates the official position or title held by a person in an office or role.
  • C. currentOfficeHolderTitle
    Indicates the official title or position name held by the person who currently occupies a given office or role.
  • D. headOfGovernmentTitle
    Indicates the official title held by the person who serves as the head of a government.
  • E. headOfOffice
    Indicates that one entity serves as the chief or leading authority in charge of a particular office or organizational unit.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab7521878c8190b9e7739b8c3fc705 completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61bd46d48190915500d75a9d8e94 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.