Triple

T4647094
Position Surface form Disambiguated ID Type / Status
Subject Article 62 of the Basic Law E102197 entity
Predicate concernsOffice P14928 FINISHED
Object Federal Minister E282477 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: Federal Minister | Statement: [Article 62 of the Basic Law, concernsOffice, Federal Minister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Federal Minister
Context triple: [Article 62 of the Basic Law, concernsOffice, Federal Minister]
  • A. Bundesminister chosen
    Bundesminister is the German term for a federal government minister who heads a specific ministry within the Federal Cabinet.
  • B. State Secretary
    A State Secretary is a senior government official who typically serves as a deputy to a minister, overseeing specific policy areas within a ministry.
  • C. First Minister of State
    The First Minister of State was the chief royal minister in France, effectively acting as the king’s principal advisor and head of government during the Ancien Régime.
  • D. 国務大臣
    国務大臣は、日本の内閣を構成し各行政分野の政策立案と執行を担う高位の政府閣僚を指す。
  • E. Federal Ministers with portfolio
    Federal Ministers with portfolio are senior members of the German federal government who head specific ministries and are responsible for distinct policy areas.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd62fcb8508190a17c4437b3d226b2 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadfe8b4819088a5fb1565bbe94a completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.