Triple

T19468321
Position Surface form Disambiguated ID Type / Status
Subject DIN German Institute for Standardization E487056 entity
Predicate shortName P43 FINISHED
Object DIN 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 | Statement: [DIN German Institute for Standardization, shortName, DIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIN
Context triple: [DIN German Institute for Standardization, shortName, DIN]
  • A. DIN chosen
    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.
  • B. DIN
    DIN is the IATA airport code for Dien Bien Phu Airport in northwestern Vietnam.
  • C. Din
    Din is the Kabbalistic concept of divine judgment or strict justice, often associated with the sefirah of Gevurah.
  • D. DINA
    DINA was the Chilean military dictatorship’s notorious secret police and intelligence agency, responsible for widespread political repression, torture, and enforced disappearances during Augusto Pinochet’s regime.
  • E. DIBA
    DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e4b230819097c8804ee91988ea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.