Triple

T18693824
Position Surface form Disambiguated ID Type / Status
Subject IfSG E457064 entity
Predicate shortName P43 FINISHED
Object IfSG NE NERFINISHED

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: IfSG | Statement: [IfSG, shortName, IfSG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IfSG
Context triple: [IfSG, shortName, IfSG]
  • A. IfSG chosen
    IfSG is the German Infection Protection Act, a federal law that regulates measures for preventing and controlling infectious diseases in Germany.
  • B. SIGI
    SIGI is a composite index developed by the OECD to measure and compare levels of gender-based discrimination in social institutions across countries.
  • C. SGP
    SGP is a conservative Calvinist political party in the Netherlands known for its orthodox Protestant principles and traditionalist positions.
  • D. SGP
    SGP is the commonly used abbreviation for the Scottish Green Party, a political party in Scotland focused on environmentalism, social justice, and sustainability.
  • E. SIF
    SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e581f48190997d279296a31e7f completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.