Triple

T18293637
Position Surface form Disambiguated ID Type / Status
Subject Series K E438174 entity
Predicate hasAbbreviation P43 FINISHED
Object K-series 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: K-series | Statement: [Series K, hasAbbreviation, K-series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-series
Context triple: [Series K, hasAbbreviation, K-series]
  • A. S series
    The S series is the section of the Official Journal of the European Union dedicated primarily to publishing public procurement notices and related tender information.
  • B. Q series
    The Q series is Audi’s lineup of luxury crossover and sport utility vehicles, ranging from compact to full-size models.
  • C. Nseries
    Nseries is Nokia's line of high-end multimedia smartphones that emphasized advanced camera, music, and internet capabilities.
  • D. L series
    The L series is the section of the Official Journal of the European Union that publishes binding EU legislation, such as regulations, directives, and decisions.
  • E. Series K chosen
    Series K is a set of ITU-T telecommunications standards focused on protection against interference, lightning, and other electromagnetic effects in telecommunication systems.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50100d6488190bbe73668df9c4046 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.