Triple

T21802998
Position Surface form Disambiguated ID Type / Status
Subject DIN E538281 entity
Predicate issuesStandardPrefix P7276 FINISHED
Object DIN EN 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: DIN EN | Statement: [DIN, issuesStandardPrefix, DIN EN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIN EN
Context triple: [DIN, issuesStandardPrefix, DIN EN]
  • A. DIN German Institute for Standardization chosen
    DIN German Institute for Standardization is Germany’s national standards body responsible for developing and publishing technical, industrial, and quality standards used domestically and internationally.
  • B. DIN 41612
    DIN 41612 is a standardized multipin electrical connector system widely used in Eurocard-based backplane and plug-in board assemblies in industrial and telecommunications equipment.
  • C. DIN
    DIN (Deutsches Institut für Normung) is the German national organization for standardization, responsible for developing and publishing technical standards across a wide range of industries.
  • D. DIN
    DIN is the IATA airport code for Dien Bien Phu Airport in northwestern Vietnam.
  • E. DIN 31635
    DIN 31635 is a standardized system for the transliteration of Arabic script into the Latin alphabet, widely used in German-speaking academia.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0780062688190a6c3a2a0364f0f77 completed April 28, 2026, 9:04 a.m.
Created at: April 16, 2026, 6:53 p.m.