Triple

T13241540
Position Surface form Disambiguated ID Type / Status
Subject DIN 70121 E315291 entity
Predicate publisher P29 FINISHED
Object DIN E538281 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: DIN | Statement: [DIN 70121, publisher, DIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DIN
Context triple: [DIN 70121, publisher, 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. 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.
  • C. 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.
  • D. 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.
  • E. DIP
    DIP is a key object-oriented design principle that promotes decoupling by having high-level modules depend on abstractions rather than concrete implementations.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d59e84c8190a9e547d0fe26a5f9 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3438888190b4aecb0b67153ed9 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.